19.16 GB | 10min 49s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction to Course.mp4 (20.65 MB)
10 Matpotlib Library and its Users.mp4 (47.01 MB)
11 Matpotlib Library and its Users Continued.mp4 (52.43 MB)
12 Plotting of Data.mp4 (70.85 MB)
13 Seaborn Package for Visualization.mp4 (50.71 MB)
14 Seaborn Package for Visualization Continued.mp4 (44.1 MB)
15 Scatter Plots.mp4 (41.97 MB)
16 Scatter Plots Continued.mp4 (55.28 MB)
17 Seaborn Libraries and its Implication.mp4 (86.01 MB)
2 Download Anaconda Navigator.mp4 (70.29 MB)
3 Set up and Installation.mp4 (41.7 MB)
4 Numpy in Jupyter Notebook.mp4 (53.18 MB)
5 Array Function.mp4 (38.95 MB)
6 Numpy indexing and Selection.mp4 (81.17 MB)
7 Filter Function.mp4 (48.25 MB)
8 Python Libraries for Visualization.mp4 (57.46 MB)
9 Python Libraries for Visualization Continued.mp4 (37.34 MB)
1 Introduction to Course.mp4 (23.45 MB)
10 Checking the Visualization.mp4 (78.75 MB)
11 Predict.mp4 (53.57 MB)
12 Data Values.mp4 (53.35 MB)
13 Applying Dimensionality Reduction.mp4 (60.42 MB)
14 Model Selection.mp4 (61.27 MB)
15 Kneibhbors Classifier.mp4 (58.34 MB)
16 Accuracy of Classifier.mp4 (50.18 MB)
17 ML Classification Handson.mp4 (38.1 MB)
18 Statistical Analysis of the Dataset.mp4 (49.41 MB)
19 Import Label Encoder.mp4 (50.33 MB)
2 Python for AI.mp4 (24.43 MB)
20 Accuracy Score.mp4 (36.34 MB)
21 Multilayer Perceptron.mp4 (44.31 MB)
22 Multilayer Perceptron Continued.mp4 (49.79 MB)
23 Number of Clusters.mp4 (69.47 MB)
24 Multiple Method.mp4 (66.18 MB)
25 Keras-Pytorch and Tensorflow.mp4 (47.49 MB)
26 Working on Jupyter Notebook.mp4 (60.47 MB)
27 Binary Classification.mp4 (71.71 MB)
28 Checking the Visualization.mp4 (78.72 MB)
29 Pyplot.mp4 (36.22 MB)
3 What is Machin Learning.mp4 (65.41 MB)
4 Data Processing Effort.mp4 (59.88 MB)
5 What is Meaning of Bias.mp4 (84.84 MB)
6 Bias vs Variance Tradeoff.mp4 (50.74 MB)
7 Model Evolution.mp4 (86.41 MB)
8 Scikit Learn.mp4 (89.01 MB)
9 Loading the Data.mp4 (73.19 MB)
1 Introduction to Predictive Analysis.mp4 (83.77 MB)
10 Clustering Meanshift.mp4 (48.03 MB)
11 Clustering Meanshift Continues.mp4 (52.88 MB)
12 Affinity Propagation Model.mp4 (62.95 MB)
13 Affinity Propagation Model Continues.mp4 (41.34 MB)
14 Clustering Quality.mp4 (60.72 MB)
15 Program of Clustering Quality.mp4 (61.15 MB)
16 Gaussian Mixture Model.mp4 (53.97 MB)
17 Program of Gaussian Mixture Model.mp4 (82.09 MB)
18 Classification in Artificial Intelligence.mp4 (18.6 MB)
19 Processing Data.mp4 (55.32 MB)
2 Random Forest and Extremely Random Forest.mp4 (101.33 MB)
20 Logistic Regression Classifier.mp4 (14.32 MB)
21 Logistic Regression Classifier Example Using Python.mp4 (55.58 MB)
22 Naive Bayes Classifier and its Examples.mp4 (106.96 MB)
23 Confusion Matrix.mp4 (41.74 MB)
24 Example os Confusion Matrix.mp4 (39.23 MB)
25 Support Vector Machines Classifier(SVM).mp4 (34.56 MB)
26 SVM Classifier Examples.mp4 (71.07 MB)
27 Concept of Logic Programming.mp4 (130.13 MB)
28 Matching the Mathematical Expression.mp4 (69.38 MB)
29 Parsing Family Tree and its Example.mp4 (88.56 MB)
3 Dealing with Class Imbalance.mp4 (76.17 MB)
30 Analyzing Geography Logic Programming.mp4 (55.52 MB)
31 Puzzle Solver and its Example.mp4 (53.39 MB)
32 What is Heuristic Search.mp4 (76.67 MB)
33 Local Search Technique.mp4 (107.91 MB)
34 Constraint Satisfaction Problem.mp4 (90.18 MB)
35 Region Coloring Problem.mp4 (45.12 MB)
36 Building Maze.mp4 (67.38 MB)
37 Puzzle Solver.mp4 (90.18 MB)
38 Natural Language Processing.mp4 (62.28 MB)
39 Examine Text Using NLTK.mp4 (54.05 MB)
4 Grid Search.mp4 (95.39 MB)
40 Raw Text Accessing (Tokenization).mp4 (105.13 MB)
41 NLP Pipeline and Its Example.mp4 (59.56 MB)
42 Regular Expression with NLTK.mp4 (39.58 MB)
43 Stemming.mp4 (56.52 MB)
44 Lemmatization.mp4 (63.01 MB)
45 Segmentation.mp4 (80.37 MB)
46 Segmentation Example.mp4 (19.24 MB)
47 Segmentation Example Continues.mp4 (22.49 MB)
48 Information Extraction.mp4 (38.81 MB)
49 Tag Patterns.mp4 (35.76 MB)
5 Adaboost Regressor.mp4 (74.82 MB)
50 Chunking.mp4 (86.65 MB)
51 Representation of Chunks.mp4 (61.48 MB)
52 Chinking.mp4 (75.28 MB)
53 Chunking wirh Regular Expression.mp4 (77.13 MB)
54 Named Entity Recognition.mp4 (66.44 MB)
55 Trees.mp4 (47.6 MB)
56 Context Free Grammar.mp4 (29.05 MB)
57 Recursive Descent Parsing.mp4 (56.43 MB)
58 Recursive Descent Parsing Continues.mp4 (33.25 MB)
59 Shift Reduce Parsing.mp4 (64.13 MB)
6 Predicting Traffic Using Extremely Random Forest Regressor.mp4 (30.07 MB)
7 Traffic Prediction.mp4 (76.93 MB)
8 Detecting patterns with Unsupervised Learning.mp4 (65.76 MB)
9 Clustering.mp4 (61.26 MB)
1 Introduction to Artificial Intelligence.mp4 (37.51 MB)
10 DFS algo.mp4 (50.41 MB)
11 DFS with iterative deepening.mp4 (42.15 MB)
12 Backtracking Algo.mp4 (44.42 MB)
13 Trace Backtracking on Graph part 1.mp4 (24.11 MB)
14 Trace Backtracking on Graph part 2.mp4 (37.4 MB)
15 Summary State Space Search.mp4 (18.63 MB)
16 Heuristic search overview.mp4 (25.08 MB)
17 Heuristic Calculation Technique part 1.mp4 (23.41 MB)
18 Heuristic Calculation Technique part 2.mp4 (25.5 MB)
19 Simple Hill Climbing.mp4 (31.25 MB)
2 Definition of Artificial Intelligence.mp4 (28.02 MB)
20 Best First Search Algo.mp4 (27.55 MB)
21 Tracing Best First Search-1.mp4 (35.13 MB)
22 Best First Search Continue.mp4 (19.57 MB)
23 Admissibility-1.mp4 (49.73 MB)
24 Mini-Max.mp4 (41.87 MB)
25 Two Ply Min Max.mp4 (34.47 MB)
26 Alpha Beta Pruning.mp4 (33.84 MB)
27 Machine Learning Overview.mp4 (37.9 MB)
28 Perceptron Learning.mp4 (73.6 MB)
29 Perceptron With Linearly Separable.mp4 (30.2 MB)
3 Intelligent Agents.mp4 (20.71 MB)
30 Backpropagation With Multilayer Neuron.mp4 (39.1 MB)
31 W for hidden node and Backpropagation Algo.mp4 (55.19 MB)
32 Backpropagation Algorithm Explained.mp4 (72.03 MB)
33 Backpropagation Calculation Part01.mp4 (43.77 MB)
34 Backpropagation Calculation Part02.mp4 (45.29 MB)
35 Updation of Weight And Cluster.mp4 (35.32 MB)
36 K-Means Cluster,Nnalgo And Appliaction of Machine Learning.mp4 (24.38 MB)
37 Logics Reasoning Overview Propositional Calculas Part 1.mp4 (35.53 MB)
38 Logics Reasoning Overview Propositional Calculas Part 2.mp4 (27.41 MB)
39 Propotional Calculus.mp4 (44.14 MB)
4 Information on State Space Search.mp4 (22.24 MB)
40 Predicate Calculus.mp4 (35.79 MB)
41 First Order Predicate Calculus.mp4 (38.73 MB)
42 Modus Ponus, Tollens.mp4 (57.57 MB)
43 Unification And Deduction Process.mp4 (51.75 MB)
44 Resolution Refutation.mp4 (66.53 MB)
45 Resolution Refutation In Detail.mp4 (56 MB)
46 Resolution Refutation Example-2 Convert Into Clause.mp4 (42.43 MB)
47 Resoultion Refutation Example-2 Apply Refutation.mp4 (42.75 MB)
48 Unification Substitution Andskolemization.mp4 (41.22 MB)
49 Prolog Overview Some Part of Reasoning.mp4 (62.03 MB)
5 Graph theory on state space search.mp4 (43.39 MB)
50 Model Based And Cbr Reasoning.mp4 (30.62 MB)
51 Production System.mp4 (39.28 MB)
52 Trace of Production System.mp4 (38.24 MB)
53 Knight tour Prob In Chessboard.mp4 (59.35 MB)
54 Goal Driven Data Driven Production System Part 1.mp4 (32.32 MB)
55 Goal Driven Data Driven Production System Part 2.mp4 (43.98 MB)
56 Goal Driven Vs Data Driven And Inserting And Removing Facts.mp4 (42.65 MB)
57 Defining Rules And Commands.mp4 (57.26 MB)
58 Clips Installation And Clipstutorial 1.mp4 (29.98 MB)
59 Clips Tutorial 2.mp4 (26.91 MB)
6 Problem Solving through state space search.mp4 (36.71 MB)
60 Clips Tutorial 3.mp4 (28.95 MB)
61 Clips Tutorial 4.mp4 (25.13 MB)
62 Clips Tutorial 5 Part01.mp4 (18.51 MB)
63 Clips Tutorial 5 Part02.mp4 (15.5 MB)
64 Tutorial 6.mp4 (12.21 MB)
65 Clips Tutorial 7.mp4 (19.57 MB)
66 Clips Tutorial 8.mp4 (25.14 MB)
67 Variable In Pattern Tutorial 9.mp4 (24.68 MB)
68 Tutorial 10.mp4 (23.84 MB)
69 More on Wildcardmatching Part01.mp4 (24.45 MB)
7 Solution for State Space Search.mp4 (24.62 MB)
70 More on Wildcardmatching Part02.mp4 (24.88 MB)
71 More on Variables.mp4 (42.11 MB)
72 Deffacts And Deftemplates Part01.mp4 (23.73 MB)
73 Deffacts And Deftemplates Part02.mp4 (31.9 MB)
74 Template Indetail Part1.mp4 (29.32 MB)
75 Not Operator.mp4 (20.25 MB)
76 Forall And Exists Part01.mp4 (19.7 MB)
77 Forall And Exists Part02.mp4 (29.5 MB)
78 Truth And Control.mp4 (25.73 MB)
79 Tutorial 12.mp4 (22.36 MB)
8 FSM.mp4 (48.87 MB)
80 Intelligent Agent.mp4 (20.72 MB)
81 Simple Reflex Agent.mp4 (27.28 MB)
82 Simple Reflex Agent with Internal State.mp4 (25.05 MB)
83 Goal Based Agent.mp4 (22.04 MB)
84 Utility Based Agent.mp4 (35.73 MB)
85 Basics of Utility Theory.mp4 (51.49 MB)
86 Maximum Expected Utility.mp4 (40.71 MB)
87 Decision Theory And Decision Network.mp4 (47.11 MB)
88 Reinforcement Learning.mp4 (58.67 MB)
89 Mdpand Ddn.mp4 (60.58 MB)
9 BFS on Graph.mp4 (31.63 MB)
90 Basics of Set Theory Part 1.mp4 (26.86 MB)
91 Basics of Set Theory Part 2.mp4 (29.91 MB)
92 Probability Distribution.mp4 (49.08 MB)
93 Baysian Rule For Conditional Probability.mp4 (60.44 MB)
94 Examples of Bayes Theorm.mp4 (32.19 MB)
1 Introduction to Machine Learning.mp4 (49.85 MB)
10 2 10 Problem and Solution.mp4 (60.36 MB)
100 Diagnostic Checking.mp4 (50.87 MB)
101 Forecasting Using Stock Price.mp4 (97.92 MB)
102 Stock Price Index.mp4 (86.25 MB)
103 Stock Price Index Continues.mp4 (83.78 MB)
104 Prophet Stock.mp4 (44 MB)
105 Run Prophet Stock.mp4 (68.86 MB)
106 Time Series Data Denationalization.mp4 (82.33 MB)
107 Time Series Data Denationalization Continues.mp4 (63.96 MB)
108 Average of Quarter Denationalization.mp4 (102.62 MB)
109 Regression of Denationalization.mp4 (86.65 MB)
11 Exponentiation Right to Left.mp4 (46.23 MB)
110 Gradient Boosting Machines.mp4 (56.86 MB)
111 Errors in Gradient Boosting Machines.mp4 (45.68 MB)
112 What is Error Rate in Gradient Boosting Machines.mp4 (44.87 MB)
113 Optimization Gradient Boosting Machines.mp4 (41.27 MB)
114 Gradient Boosting Trees (GBT).mp4 (32.96 MB)
115 Dataset Boosting in Gradient.mp4 (81.61 MB)
116 Example of Dataset Boosting in Gradient.mp4 (84.33 MB)
117 Example of Dataset Boosting in Gradient Continues.mp4 (98.99 MB)
118 Market Basket Analysis Association Rules.mp4 (87.1 MB)
119 Market Basket Analysis Association Rules Continues.mp4 (69.68 MB)
12 2 13 Avoiding Some Common Mistakes.mp4 (61.55 MB)
120 Market Basket Analysis Interpretation.mp4 (44.56 MB)
121 Implementation of Market Basket Analysis.mp4 (27.15 MB)
122 Example of Market Basket Analysis.mp4 (66.86 MB)
123 Datamining in Market Basket Analysis.mp4 (67.6 MB)
124 Market Basket Analysis Using Rstudio.mp4 (66.48 MB)
125 Market Basket Analysis Using Rstudio Continues.mp4 (83.73 MB)
126 More on Rstudio in Market Analysis.mp4 (110.97 MB)
127 New Development in Machine Learning.mp4 (72.06 MB)
128 Data Scientist in Machine Learnirng.mp4 (61.72 MB)
129 Types of Detection in Machine Learning.mp4 (83.88 MB)
13 Simple Linear Regression.mp4 (62.07 MB)
130 Example of New Development in Machine Learning.mp4 (68.52 MB)
131 Example of New Development in Machine Learning Continues.mp4 (47.56 MB)
14 Simple Linear Regression Continues.mp4 (31.64 MB)
15 What is Rsquare.mp4 (59.02 MB)
16 Standard Error.mp4 (42.35 MB)
17 General Statistics.mp4 (40.04 MB)
18 General Statistics Continues.mp4 (40.7 MB)
19 Simple Linear Regression and More of Statistics.mp4 (62.96 MB)
2 How do Machine Learn.mp4 (43.55 MB)
20 Open the Studio.mp4 (32.38 MB)
21 What is R Square.mp4 (60.54 MB)
22 What is STD Error.mp4 (43.06 MB)
23 Reject Null Hypothesis.mp4 (67.09 MB)
24 Variance Covariance and Correlation.mp4 (72.18 MB)
25 Root names and Types of Distribution Function.mp4 (61.27 MB)
26 Generating Random Numbers and Combination Function.mp4 (55.4 MB)
27 Probabilities for Discrete Distribution Function.mp4 (72.63 MB)
28 Quantile Function and Poison Distribution.mp4 (68.32 MB)
29 Students T Distribution, Hypothesis and Example.mp4 (53.69 MB)
3 Steps to Apply Machine Learning.mp4 (40.83 MB)
30 Chai-Square Distribution.mp4 (36.32 MB)
31 Data Visualization.mp4 (65.15 MB)
32 More on Data Visualization.mp4 (60.75 MB)
33 Multiple Linear Regression.mp4 (79.76 MB)
34 Multiple Linear Regression Continues.mp4 (62.85 MB)
35 Regression Variables.mp4 (91.04 MB)
36 Generalized Linear Model.mp4 (76.41 MB)
37 Generalized Least Square.mp4 (75.79 MB)
38 KNN- Various Methods of Distance Measurements.mp4 (45.06 MB)
39 Overview of KNN- (Steps involved).mp4 (60.25 MB)
4 Regression and Classification Problems.mp4 (53.66 MB)
40 Data normalization and prediction on Test Data.mp4 (74.31 MB)
41 Improvement of Model Performance and ROC.mp4 (72.58 MB)
42 Decision Tree Classifier.mp4 (49.23 MB)
43 More on Decision Tree Classifier.mp4 (62.4 MB)
44 Pruning of Decision Trees.mp4 (72.8 MB)
45 Decision Tree Remaining.mp4 (52.99 MB)
46 Decision Tree Remaining Continues.mp4 (41.11 MB)
47 General concept of Random Forest.mp4 (53.89 MB)
48 Ada Boosting and Ensemble Learning.mp4 (83.88 MB)
49 Data Visualization and Preparation.mp4 (75.39 MB)
5 Basic Data Manipulation in R.mp4 (60.43 MB)
50 Tuning Random Forest Model.mp4 (54.14 MB)
51 Evaluation of Random Forest Model Performance.mp4 (58.35 MB)
52 Introduction to Kmeans Clustering.mp4 (65.95 MB)
53 Kmeans Elbow Point and Dataset.mp4 (80.22 MB)
54 Example of Kmeans Dataset.mp4 (106.33 MB)
55 Creating a Graph for Kmeans Clustering.mp4 (113.54 MB)
56 Creating a Graph for Kmeans Clustering Continues.mp4 (84.62 MB)
57 Aggregation Function of Clustering.mp4 (69.22 MB)
58 Conditional Probability with Bayes Algorithm.mp4 (74.9 MB)
59 Venn Diagram Naive Bayes Classification.mp4 (55.06 MB)
6 More on Data Manipulation in R.mp4 (51.64 MB)
60 Component OF Bayes Theorem using Frequency Table.mp4 (78.92 MB)
61 Naive Bayes Classification Algorithm and Laplace Estimator.mp4 (63.55 MB)
62 Example of Naive Bayes Classification.mp4 (72.03 MB)
63 Example of Naive Bayes Classification Continues.mp4 (84.94 MB)
64 Spam and Ham Messages in Word Cloud.mp4 (79.06 MB)
65 Implementation of Dictionary and Document Term Matrix.mp4 (73.48 MB)
66 Executes the Function Naive Bayes.mp4 (79.77 MB)
67 Support Vector Machine with Black Box Method.mp4 (53.17 MB)
68 Linearly and Non- Linearly Support Vector Machine.mp4 (46.79 MB)
69 Kernal Trick.mp4 (50.8 MB)
7 Basic Data Manipulation in R - Practical.mp4 (60.45 MB)
70 Gaussian RBF Kernal and OCR with SVMs.mp4 (72.25 MB)
71 Examples of Gaussian RBF Kernal and OCR with SVMs.mp4 (67.04 MB)
72 Summary of Support Vector Machine.mp4 (67.94 MB)
73 Feature Selection Dimension Reduction Technique.mp4 (79.46 MB)
74 Feature Extraction Dimension Reduction Technique.mp4 (73.78 MB)
75 Dimension Reduction Technique Example.mp4 (75.07 MB)
76 Dimension Reduction Technique Example Continues.mp4 (71.27 MB)
77 Introduction Principal Component Analysis.mp4 (56.66 MB)
78 Steps of PCA.mp4 (50.84 MB)
79 Steps of PCA Continues.mp4 (52.65 MB)
8 Create a Vector.mp4 (51.31 MB)
80 Eigen Values.mp4 (31.03 MB)
81 Eigen Vectors.mp4 (33.03 MB)
82 Principal Component Analysis using Pr-Comp.mp4 (90.37 MB)
83 Principal Component Analysis using Pr-Comp Continues.mp4 (67.2 MB)
84 C Bind Type in PCA.mp4 (80.15 MB)
85 R Type Model.mp4 (109.6 MB)
86 Black Box Method in Neural Network.mp4 (82.35 MB)
87 Characteristics of a Neural Networks.mp4 (64.51 MB)
88 Network Topology of a Neural Networks.mp4 (63.22 MB)
89 Weight Adjustment and Case Update.mp4 (68.45 MB)
9 2 7 Problem and Solution.mp4 (53.69 MB)
90 Introduction Model Building in R.mp4 (88.2 MB)
91 Installing the Package of Model Building in R.mp4 (77.53 MB)
92 Nodes in Model Building in R.mp4 (61.45 MB)
93 Example of Model Building in R.mp4 (72.69 MB)
94 Time Series Analysis.mp4 (57.69 MB)
95 Pattern in Time Series Data.mp4 (45.86 MB)
96 Time Series Modelling.mp4 (50.09 MB)
97 Moving Average Model.mp4 (58.84 MB)
98 Auto Correlation Function.mp4 (37 MB)
99 Inference of ACF and PFCF.mp4 (39.15 MB)
1 Intro to Course.mp4 (22.91 MB)
10 Bar Plot.mp4 (91.7 MB)
11 Name Column.mp4 (49.9 MB)
12 Modelling.mp4 (59.29 MB)
13 Training Set.mp4 (33.53 MB)
14 Import Cross Validation.mp4 (30.29 MB)
2 Life Cycle.mp4 (20.51 MB)
3 Import Libraries.mp4 (27.04 MB)
4 Algorithms.mp4 (16.56 MB)
5 Decision Tree Classifier.mp4 (21.56 MB)
6 Logitech Regression.mp4 (16.01 MB)
7 EDA.mp4 (61.93 MB)
8 Load Libraries.mp4 (75.96 MB)
9 Load Libraries Continue.mp4 (64.34 MB)
1 Introduction and Importing Dataset.mp4 (55.58 MB)
10 Saving Model in R.mp4 (89.03 MB)
11 Fitting Decision Tree Model.mp4 (60.28 MB)
12 Fitting Decision Tree Model Continue.mp4 (61.4 MB)
13 Prediction of Decision Tree and Model Performance.mp4 (40.21 MB)
2 IV Calculation.mp4 (61.91 MB)
3 Plotting Variables.mp4 (58.3 MB)
4 Splitting.mp4 (71.31 MB)
5 Building Logistic Model.mp4 (63.5 MB)
6 Making Optimal Model.mp4 (96.76 MB)
7 Making Lift Chart for Training Set.mp4 (116.86 MB)
8 Checking Model Performance.mp4 (79.78 MB)
9 Model Performance in Test Set.mp4 (83.75 MB)
10 Matpotlib Library and its Users.mp4 (47.01 MB)
11 Matpotlib Library and its Users Continued.mp4 (52.43 MB)
12 Plotting of Data.mp4 (70.85 MB)
13 Seaborn Package for Visualization.mp4 (50.71 MB)
14 Seaborn Package for Visualization Continued.mp4 (44.1 MB)
15 Scatter Plots.mp4 (41.97 MB)
16 Scatter Plots Continued.mp4 (55.28 MB)
17 Seaborn Libraries and its Implication.mp4 (86.01 MB)
2 Download Anaconda Navigator.mp4 (70.29 MB)
3 Set up and Installation.mp4 (41.7 MB)
4 Numpy in Jupyter Notebook.mp4 (53.18 MB)
5 Array Function.mp4 (38.95 MB)
6 Numpy indexing and Selection.mp4 (81.17 MB)
7 Filter Function.mp4 (48.25 MB)
8 Python Libraries for Visualization.mp4 (57.46 MB)
9 Python Libraries for Visualization Continued.mp4 (37.34 MB)
1 Introduction to Course.mp4 (23.45 MB)
10 Checking the Visualization.mp4 (78.75 MB)
11 Predict.mp4 (53.57 MB)
12 Data Values.mp4 (53.35 MB)
13 Applying Dimensionality Reduction.mp4 (60.42 MB)
14 Model Selection.mp4 (61.27 MB)
15 Kneibhbors Classifier.mp4 (58.34 MB)
16 Accuracy of Classifier.mp4 (50.18 MB)
17 ML Classification Handson.mp4 (38.1 MB)
18 Statistical Analysis of the Dataset.mp4 (49.41 MB)
19 Import Label Encoder.mp4 (50.33 MB)
2 Python for AI.mp4 (24.43 MB)
20 Accuracy Score.mp4 (36.34 MB)
21 Multilayer Perceptron.mp4 (44.31 MB)
22 Multilayer Perceptron Continued.mp4 (49.79 MB)
23 Number of Clusters.mp4 (69.47 MB)
24 Multiple Method.mp4 (66.18 MB)
25 Keras-Pytorch and Tensorflow.mp4 (47.49 MB)
26 Working on Jupyter Notebook.mp4 (60.47 MB)
27 Binary Classification.mp4 (71.71 MB)
28 Checking the Visualization.mp4 (78.72 MB)
29 Pyplot.mp4 (36.22 MB)
3 What is Machin Learning.mp4 (65.41 MB)
4 Data Processing Effort.mp4 (59.88 MB)
5 What is Meaning of Bias.mp4 (84.84 MB)
6 Bias vs Variance Tradeoff.mp4 (50.74 MB)
7 Model Evolution.mp4 (86.41 MB)
8 Scikit Learn.mp4 (89.01 MB)
9 Loading the Data.mp4 (73.19 MB)
1 Introduction to Predictive Analysis.mp4 (83.77 MB)
10 Clustering Meanshift.mp4 (48.03 MB)
11 Clustering Meanshift Continues.mp4 (52.88 MB)
12 Affinity Propagation Model.mp4 (62.95 MB)
13 Affinity Propagation Model Continues.mp4 (41.34 MB)
14 Clustering Quality.mp4 (60.72 MB)
15 Program of Clustering Quality.mp4 (61.15 MB)
16 Gaussian Mixture Model.mp4 (53.97 MB)
17 Program of Gaussian Mixture Model.mp4 (82.09 MB)
18 Classification in Artificial Intelligence.mp4 (18.6 MB)
19 Processing Data.mp4 (55.32 MB)
2 Random Forest and Extremely Random Forest.mp4 (101.33 MB)
20 Logistic Regression Classifier.mp4 (14.32 MB)
21 Logistic Regression Classifier Example Using Python.mp4 (55.58 MB)
22 Naive Bayes Classifier and its Examples.mp4 (106.96 MB)
23 Confusion Matrix.mp4 (41.74 MB)
24 Example os Confusion Matrix.mp4 (39.23 MB)
25 Support Vector Machines Classifier(SVM).mp4 (34.56 MB)
26 SVM Classifier Examples.mp4 (71.07 MB)
27 Concept of Logic Programming.mp4 (130.13 MB)
28 Matching the Mathematical Expression.mp4 (69.38 MB)
29 Parsing Family Tree and its Example.mp4 (88.56 MB)
3 Dealing with Class Imbalance.mp4 (76.17 MB)
30 Analyzing Geography Logic Programming.mp4 (55.52 MB)
31 Puzzle Solver and its Example.mp4 (53.39 MB)
32 What is Heuristic Search.mp4 (76.67 MB)
33 Local Search Technique.mp4 (107.91 MB)
34 Constraint Satisfaction Problem.mp4 (90.18 MB)
35 Region Coloring Problem.mp4 (45.12 MB)
36 Building Maze.mp4 (67.38 MB)
37 Puzzle Solver.mp4 (90.18 MB)
38 Natural Language Processing.mp4 (62.28 MB)
39 Examine Text Using NLTK.mp4 (54.05 MB)
4 Grid Search.mp4 (95.39 MB)
40 Raw Text Accessing (Tokenization).mp4 (105.13 MB)
41 NLP Pipeline and Its Example.mp4 (59.56 MB)
42 Regular Expression with NLTK.mp4 (39.58 MB)
43 Stemming.mp4 (56.52 MB)
44 Lemmatization.mp4 (63.01 MB)
45 Segmentation.mp4 (80.37 MB)
46 Segmentation Example.mp4 (19.24 MB)
47 Segmentation Example Continues.mp4 (22.49 MB)
48 Information Extraction.mp4 (38.81 MB)
49 Tag Patterns.mp4 (35.76 MB)
5 Adaboost Regressor.mp4 (74.82 MB)
50 Chunking.mp4 (86.65 MB)
51 Representation of Chunks.mp4 (61.48 MB)
52 Chinking.mp4 (75.28 MB)
53 Chunking wirh Regular Expression.mp4 (77.13 MB)
54 Named Entity Recognition.mp4 (66.44 MB)
55 Trees.mp4 (47.6 MB)
56 Context Free Grammar.mp4 (29.05 MB)
57 Recursive Descent Parsing.mp4 (56.43 MB)
58 Recursive Descent Parsing Continues.mp4 (33.25 MB)
59 Shift Reduce Parsing.mp4 (64.13 MB)
6 Predicting Traffic Using Extremely Random Forest Regressor.mp4 (30.07 MB)
7 Traffic Prediction.mp4 (76.93 MB)
8 Detecting patterns with Unsupervised Learning.mp4 (65.76 MB)
9 Clustering.mp4 (61.26 MB)
1 Introduction to Artificial Intelligence.mp4 (37.51 MB)
10 DFS algo.mp4 (50.41 MB)
11 DFS with iterative deepening.mp4 (42.15 MB)
12 Backtracking Algo.mp4 (44.42 MB)
13 Trace Backtracking on Graph part 1.mp4 (24.11 MB)
14 Trace Backtracking on Graph part 2.mp4 (37.4 MB)
15 Summary State Space Search.mp4 (18.63 MB)
16 Heuristic search overview.mp4 (25.08 MB)
17 Heuristic Calculation Technique part 1.mp4 (23.41 MB)
18 Heuristic Calculation Technique part 2.mp4 (25.5 MB)
19 Simple Hill Climbing.mp4 (31.25 MB)
2 Definition of Artificial Intelligence.mp4 (28.02 MB)
20 Best First Search Algo.mp4 (27.55 MB)
21 Tracing Best First Search-1.mp4 (35.13 MB)
22 Best First Search Continue.mp4 (19.57 MB)
23 Admissibility-1.mp4 (49.73 MB)
24 Mini-Max.mp4 (41.87 MB)
25 Two Ply Min Max.mp4 (34.47 MB)
26 Alpha Beta Pruning.mp4 (33.84 MB)
27 Machine Learning Overview.mp4 (37.9 MB)
28 Perceptron Learning.mp4 (73.6 MB)
29 Perceptron With Linearly Separable.mp4 (30.2 MB)
3 Intelligent Agents.mp4 (20.71 MB)
30 Backpropagation With Multilayer Neuron.mp4 (39.1 MB)
31 W for hidden node and Backpropagation Algo.mp4 (55.19 MB)
32 Backpropagation Algorithm Explained.mp4 (72.03 MB)
33 Backpropagation Calculation Part01.mp4 (43.77 MB)
34 Backpropagation Calculation Part02.mp4 (45.29 MB)
35 Updation of Weight And Cluster.mp4 (35.32 MB)
36 K-Means Cluster,Nnalgo And Appliaction of Machine Learning.mp4 (24.38 MB)
37 Logics Reasoning Overview Propositional Calculas Part 1.mp4 (35.53 MB)
38 Logics Reasoning Overview Propositional Calculas Part 2.mp4 (27.41 MB)
39 Propotional Calculus.mp4 (44.14 MB)
4 Information on State Space Search.mp4 (22.24 MB)
40 Predicate Calculus.mp4 (35.79 MB)
41 First Order Predicate Calculus.mp4 (38.73 MB)
42 Modus Ponus, Tollens.mp4 (57.57 MB)
43 Unification And Deduction Process.mp4 (51.75 MB)
44 Resolution Refutation.mp4 (66.53 MB)
45 Resolution Refutation In Detail.mp4 (56 MB)
46 Resolution Refutation Example-2 Convert Into Clause.mp4 (42.43 MB)
47 Resoultion Refutation Example-2 Apply Refutation.mp4 (42.75 MB)
48 Unification Substitution Andskolemization.mp4 (41.22 MB)
49 Prolog Overview Some Part of Reasoning.mp4 (62.03 MB)
5 Graph theory on state space search.mp4 (43.39 MB)
50 Model Based And Cbr Reasoning.mp4 (30.62 MB)
51 Production System.mp4 (39.28 MB)
52 Trace of Production System.mp4 (38.24 MB)
53 Knight tour Prob In Chessboard.mp4 (59.35 MB)
54 Goal Driven Data Driven Production System Part 1.mp4 (32.32 MB)
55 Goal Driven Data Driven Production System Part 2.mp4 (43.98 MB)
56 Goal Driven Vs Data Driven And Inserting And Removing Facts.mp4 (42.65 MB)
57 Defining Rules And Commands.mp4 (57.26 MB)
58 Clips Installation And Clipstutorial 1.mp4 (29.98 MB)
59 Clips Tutorial 2.mp4 (26.91 MB)
6 Problem Solving through state space search.mp4 (36.71 MB)
60 Clips Tutorial 3.mp4 (28.95 MB)
61 Clips Tutorial 4.mp4 (25.13 MB)
62 Clips Tutorial 5 Part01.mp4 (18.51 MB)
63 Clips Tutorial 5 Part02.mp4 (15.5 MB)
64 Tutorial 6.mp4 (12.21 MB)
65 Clips Tutorial 7.mp4 (19.57 MB)
66 Clips Tutorial 8.mp4 (25.14 MB)
67 Variable In Pattern Tutorial 9.mp4 (24.68 MB)
68 Tutorial 10.mp4 (23.84 MB)
69 More on Wildcardmatching Part01.mp4 (24.45 MB)
7 Solution for State Space Search.mp4 (24.62 MB)
70 More on Wildcardmatching Part02.mp4 (24.88 MB)
71 More on Variables.mp4 (42.11 MB)
72 Deffacts And Deftemplates Part01.mp4 (23.73 MB)
73 Deffacts And Deftemplates Part02.mp4 (31.9 MB)
74 Template Indetail Part1.mp4 (29.32 MB)
75 Not Operator.mp4 (20.25 MB)
76 Forall And Exists Part01.mp4 (19.7 MB)
77 Forall And Exists Part02.mp4 (29.5 MB)
78 Truth And Control.mp4 (25.73 MB)
79 Tutorial 12.mp4 (22.36 MB)
8 FSM.mp4 (48.87 MB)
80 Intelligent Agent.mp4 (20.72 MB)
81 Simple Reflex Agent.mp4 (27.28 MB)
82 Simple Reflex Agent with Internal State.mp4 (25.05 MB)
83 Goal Based Agent.mp4 (22.04 MB)
84 Utility Based Agent.mp4 (35.73 MB)
85 Basics of Utility Theory.mp4 (51.49 MB)
86 Maximum Expected Utility.mp4 (40.71 MB)
87 Decision Theory And Decision Network.mp4 (47.11 MB)
88 Reinforcement Learning.mp4 (58.67 MB)
89 Mdpand Ddn.mp4 (60.58 MB)
9 BFS on Graph.mp4 (31.63 MB)
90 Basics of Set Theory Part 1.mp4 (26.86 MB)
91 Basics of Set Theory Part 2.mp4 (29.91 MB)
92 Probability Distribution.mp4 (49.08 MB)
93 Baysian Rule For Conditional Probability.mp4 (60.44 MB)
94 Examples of Bayes Theorm.mp4 (32.19 MB)
1 Introduction to Machine Learning.mp4 (49.85 MB)
10 2 10 Problem and Solution.mp4 (60.36 MB)
100 Diagnostic Checking.mp4 (50.87 MB)
101 Forecasting Using Stock Price.mp4 (97.92 MB)
102 Stock Price Index.mp4 (86.25 MB)
103 Stock Price Index Continues.mp4 (83.78 MB)
104 Prophet Stock.mp4 (44 MB)
105 Run Prophet Stock.mp4 (68.86 MB)
106 Time Series Data Denationalization.mp4 (82.33 MB)
107 Time Series Data Denationalization Continues.mp4 (63.96 MB)
108 Average of Quarter Denationalization.mp4 (102.62 MB)
109 Regression of Denationalization.mp4 (86.65 MB)
11 Exponentiation Right to Left.mp4 (46.23 MB)
110 Gradient Boosting Machines.mp4 (56.86 MB)
111 Errors in Gradient Boosting Machines.mp4 (45.68 MB)
112 What is Error Rate in Gradient Boosting Machines.mp4 (44.87 MB)
113 Optimization Gradient Boosting Machines.mp4 (41.27 MB)
114 Gradient Boosting Trees (GBT).mp4 (32.96 MB)
115 Dataset Boosting in Gradient.mp4 (81.61 MB)
116 Example of Dataset Boosting in Gradient.mp4 (84.33 MB)
117 Example of Dataset Boosting in Gradient Continues.mp4 (98.99 MB)
118 Market Basket Analysis Association Rules.mp4 (87.1 MB)
119 Market Basket Analysis Association Rules Continues.mp4 (69.68 MB)
12 2 13 Avoiding Some Common Mistakes.mp4 (61.55 MB)
120 Market Basket Analysis Interpretation.mp4 (44.56 MB)
121 Implementation of Market Basket Analysis.mp4 (27.15 MB)
122 Example of Market Basket Analysis.mp4 (66.86 MB)
123 Datamining in Market Basket Analysis.mp4 (67.6 MB)
124 Market Basket Analysis Using Rstudio.mp4 (66.48 MB)
125 Market Basket Analysis Using Rstudio Continues.mp4 (83.73 MB)
126 More on Rstudio in Market Analysis.mp4 (110.97 MB)
127 New Development in Machine Learning.mp4 (72.06 MB)
128 Data Scientist in Machine Learnirng.mp4 (61.72 MB)
129 Types of Detection in Machine Learning.mp4 (83.88 MB)
13 Simple Linear Regression.mp4 (62.07 MB)
130 Example of New Development in Machine Learning.mp4 (68.52 MB)
131 Example of New Development in Machine Learning Continues.mp4 (47.56 MB)
14 Simple Linear Regression Continues.mp4 (31.64 MB)
15 What is Rsquare.mp4 (59.02 MB)
16 Standard Error.mp4 (42.35 MB)
17 General Statistics.mp4 (40.04 MB)
18 General Statistics Continues.mp4 (40.7 MB)
19 Simple Linear Regression and More of Statistics.mp4 (62.96 MB)
2 How do Machine Learn.mp4 (43.55 MB)
20 Open the Studio.mp4 (32.38 MB)
21 What is R Square.mp4 (60.54 MB)
22 What is STD Error.mp4 (43.06 MB)
23 Reject Null Hypothesis.mp4 (67.09 MB)
24 Variance Covariance and Correlation.mp4 (72.18 MB)
25 Root names and Types of Distribution Function.mp4 (61.27 MB)
26 Generating Random Numbers and Combination Function.mp4 (55.4 MB)
27 Probabilities for Discrete Distribution Function.mp4 (72.63 MB)
28 Quantile Function and Poison Distribution.mp4 (68.32 MB)
29 Students T Distribution, Hypothesis and Example.mp4 (53.69 MB)
3 Steps to Apply Machine Learning.mp4 (40.83 MB)
30 Chai-Square Distribution.mp4 (36.32 MB)
31 Data Visualization.mp4 (65.15 MB)
32 More on Data Visualization.mp4 (60.75 MB)
33 Multiple Linear Regression.mp4 (79.76 MB)
34 Multiple Linear Regression Continues.mp4 (62.85 MB)
35 Regression Variables.mp4 (91.04 MB)
36 Generalized Linear Model.mp4 (76.41 MB)
37 Generalized Least Square.mp4 (75.79 MB)
38 KNN- Various Methods of Distance Measurements.mp4 (45.06 MB)
39 Overview of KNN- (Steps involved).mp4 (60.25 MB)
4 Regression and Classification Problems.mp4 (53.66 MB)
40 Data normalization and prediction on Test Data.mp4 (74.31 MB)
41 Improvement of Model Performance and ROC.mp4 (72.58 MB)
42 Decision Tree Classifier.mp4 (49.23 MB)
43 More on Decision Tree Classifier.mp4 (62.4 MB)
44 Pruning of Decision Trees.mp4 (72.8 MB)
45 Decision Tree Remaining.mp4 (52.99 MB)
46 Decision Tree Remaining Continues.mp4 (41.11 MB)
47 General concept of Random Forest.mp4 (53.89 MB)
48 Ada Boosting and Ensemble Learning.mp4 (83.88 MB)
49 Data Visualization and Preparation.mp4 (75.39 MB)
5 Basic Data Manipulation in R.mp4 (60.43 MB)
50 Tuning Random Forest Model.mp4 (54.14 MB)
51 Evaluation of Random Forest Model Performance.mp4 (58.35 MB)
52 Introduction to Kmeans Clustering.mp4 (65.95 MB)
53 Kmeans Elbow Point and Dataset.mp4 (80.22 MB)
54 Example of Kmeans Dataset.mp4 (106.33 MB)
55 Creating a Graph for Kmeans Clustering.mp4 (113.54 MB)
56 Creating a Graph for Kmeans Clustering Continues.mp4 (84.62 MB)
57 Aggregation Function of Clustering.mp4 (69.22 MB)
58 Conditional Probability with Bayes Algorithm.mp4 (74.9 MB)
59 Venn Diagram Naive Bayes Classification.mp4 (55.06 MB)
6 More on Data Manipulation in R.mp4 (51.64 MB)
60 Component OF Bayes Theorem using Frequency Table.mp4 (78.92 MB)
61 Naive Bayes Classification Algorithm and Laplace Estimator.mp4 (63.55 MB)
62 Example of Naive Bayes Classification.mp4 (72.03 MB)
63 Example of Naive Bayes Classification Continues.mp4 (84.94 MB)
64 Spam and Ham Messages in Word Cloud.mp4 (79.06 MB)
65 Implementation of Dictionary and Document Term Matrix.mp4 (73.48 MB)
66 Executes the Function Naive Bayes.mp4 (79.77 MB)
67 Support Vector Machine with Black Box Method.mp4 (53.17 MB)
68 Linearly and Non- Linearly Support Vector Machine.mp4 (46.79 MB)
69 Kernal Trick.mp4 (50.8 MB)
7 Basic Data Manipulation in R - Practical.mp4 (60.45 MB)
70 Gaussian RBF Kernal and OCR with SVMs.mp4 (72.25 MB)
71 Examples of Gaussian RBF Kernal and OCR with SVMs.mp4 (67.04 MB)
72 Summary of Support Vector Machine.mp4 (67.94 MB)
73 Feature Selection Dimension Reduction Technique.mp4 (79.46 MB)
74 Feature Extraction Dimension Reduction Technique.mp4 (73.78 MB)
75 Dimension Reduction Technique Example.mp4 (75.07 MB)
76 Dimension Reduction Technique Example Continues.mp4 (71.27 MB)
77 Introduction Principal Component Analysis.mp4 (56.66 MB)
78 Steps of PCA.mp4 (50.84 MB)
79 Steps of PCA Continues.mp4 (52.65 MB)
8 Create a Vector.mp4 (51.31 MB)
80 Eigen Values.mp4 (31.03 MB)
81 Eigen Vectors.mp4 (33.03 MB)
82 Principal Component Analysis using Pr-Comp.mp4 (90.37 MB)
83 Principal Component Analysis using Pr-Comp Continues.mp4 (67.2 MB)
84 C Bind Type in PCA.mp4 (80.15 MB)
85 R Type Model.mp4 (109.6 MB)
86 Black Box Method in Neural Network.mp4 (82.35 MB)
87 Characteristics of a Neural Networks.mp4 (64.51 MB)
88 Network Topology of a Neural Networks.mp4 (63.22 MB)
89 Weight Adjustment and Case Update.mp4 (68.45 MB)
9 2 7 Problem and Solution.mp4 (53.69 MB)
90 Introduction Model Building in R.mp4 (88.2 MB)
91 Installing the Package of Model Building in R.mp4 (77.53 MB)
92 Nodes in Model Building in R.mp4 (61.45 MB)
93 Example of Model Building in R.mp4 (72.69 MB)
94 Time Series Analysis.mp4 (57.69 MB)
95 Pattern in Time Series Data.mp4 (45.86 MB)
96 Time Series Modelling.mp4 (50.09 MB)
97 Moving Average Model.mp4 (58.84 MB)
98 Auto Correlation Function.mp4 (37 MB)
99 Inference of ACF and PFCF.mp4 (39.15 MB)
1 Intro to Course.mp4 (22.91 MB)
10 Bar Plot.mp4 (91.7 MB)
11 Name Column.mp4 (49.9 MB)
12 Modelling.mp4 (59.29 MB)
13 Training Set.mp4 (33.53 MB)
14 Import Cross Validation.mp4 (30.29 MB)
2 Life Cycle.mp4 (20.51 MB)
3 Import Libraries.mp4 (27.04 MB)
4 Algorithms.mp4 (16.56 MB)
5 Decision Tree Classifier.mp4 (21.56 MB)
6 Logitech Regression.mp4 (16.01 MB)
7 EDA.mp4 (61.93 MB)
8 Load Libraries.mp4 (75.96 MB)
9 Load Libraries Continue.mp4 (64.34 MB)
1 Introduction and Importing Dataset.mp4 (55.58 MB)
10 Saving Model in R.mp4 (89.03 MB)
11 Fitting Decision Tree Model.mp4 (60.28 MB)
12 Fitting Decision Tree Model Continue.mp4 (61.4 MB)
13 Prediction of Decision Tree and Model Performance.mp4 (40.21 MB)
2 IV Calculation.mp4 (61.91 MB)
3 Plotting Variables.mp4 (58.3 MB)
4 Splitting.mp4 (71.31 MB)
5 Building Logistic Model.mp4 (63.5 MB)
6 Making Optimal Model.mp4 (96.76 MB)
7 Making Lift Chart for Training Set.mp4 (116.86 MB)
8 Checking Model Performance.mp4 (79.78 MB)
9 Model Performance in Test Set.mp4 (83.75 MB)
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