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[FreeCourseSite.com] Udemy - Machine Learning Essentials (2023) - Master core ML concepts

Magnet Download Download Torrent
File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Introduction/1. Course Overview.mp4
50 MB
1. Introduction/10. Code Repository.html
236 B
1. Introduction/2. Artificial Intelligence.mp4
49 MB
1. Introduction/3. Machine Learning.mp4
67 MB
1. Introduction/4. Deep Learning.mp4
54 MB
1. Introduction/5. Computer Vision.mp4
43 MB
1. Introduction/6. Natural Language Processing.mp4
64 MB
1. Introduction/7. Automatic Speech Recognition.mp4
101 MB
1. Introduction/8. Reinforcement Learning.mp4
44 MB
1. Introduction/9. Pre-requisites.html
889 B
10. K-Means/0. Websites you may like/[CourseClub.Me].url
122 B
10. K-Means/0. Websites you may like/[FreeCourseSite.com].url
127 B
10. K-Means/0. Websites you may like/[GigaCourse.Com].url
49 B
10. K-Means/1. K-Means Algorithm.mp4
60 MB
10. K-Means/2. Code 01 - Data Prep.mp4
19 MB
10. K-Means/3. Code 02 - Init Centers.mp4
66 MB
10. K-Means/4. Code 03 - Assigning Points.mp4
76 MB
10. K-Means/5. Code 04 - Updating Centroids.mp4
59 MB
10. K-Means/6. Code 05 - Visualizing K-Means & Results.mp4
82 MB
11. Project - Dominant Color Extraction/1. Introduction.mp4
25 MB
11. Project - Dominant Color Extraction/2. Reading Images.mp4
24 MB
11. Project - Dominant Color Extraction/3. Finding Clusters.mp4
54 MB
11. Project - Dominant Color Extraction/4. Dominant Color Swatches.mp4
40 MB
11. Project - Dominant Color Extraction/5. Image in K-Colors.mp4
71 MB
12. Naive Bayes Algorithm/1. Bayes Theorem.mp4
87 MB
12. Naive Bayes Algorithm/10. CODE - Likelihood.mp4
166 MB
12. Naive Bayes Algorithm/11. CODE - Prediction.mp4
71 MB
12. Naive Bayes Algorithm/12. Implementing Naive Bayes - Sklearn.mp4
112 MB
12. Naive Bayes Algorithm/2. Derivation of Bayes Theorem.mp4
75 MB
12. Naive Bayes Algorithm/3. Bayes Theorem Question.mp4
145 MB
12. Naive Bayes Algorithm/4. Naive Bayes Algorithm.mp4
81 MB
12. Naive Bayes Algorithm/5. Naive Bayes for Text Classification.mp4
161 MB
12. Naive Bayes Algorithm/6. Computing Likelihood.mp4
193 MB
12. Naive Bayes Algorithm/7. Understanding Golf Dataset.mp4
219 MB
12. Naive Bayes Algorithm/7.1 golf.csv
430 B
12. Naive Bayes Algorithm/8. CODE - Prior Probability.mp4
61 MB
12. Naive Bayes Algorithm/9. CODE - Conditional Probability.mp4
108 MB
13. Multinomial Naive Bayes/1. Multinomial Naive Bayes.mp4
141 MB
13. Multinomial Naive Bayes/2. Laplace Smoothing.mp4
92 MB
13. Multinomial Naive Bayes/3. Multinomial Naive Bayes Example.mp4
179 MB
13. Multinomial Naive Bayes/4. Bernoulli Naive Bayes.mp4
205 MB
13. Multinomial Naive Bayes/5. Bernoulli Naive Bayes Example.mp4
138 MB
13. Multinomial Naive Bayes/6. Bias Variance Tradeoff.mp4
94 MB
13. Multinomial Naive Bayes/7. Gaussian Naive Bayes.mp4
109 MB
13. Multinomial Naive Bayes/8. CODE - Variants of Naive Bayes.mp4
94 MB
14. PROJECT Spam Classifier/1. Project Overview.mp4
87 MB
14. PROJECT Spam Classifier/2. Data Clearning.mp4
158 MB
14. PROJECT Spam Classifier/3. WordCloud.mp4
106 MB
14. PROJECT Spam Classifier/4. Text Featurization.mp4
44 MB
14. PROJECT Spam Classifier/5. Model Building.mp4
52 MB
14. PROJECT Spam Classifier/6. Model Evaluation.mp4
68 MB
15. Decision Trees/0. Websites you may like/[CourseClub.Me].url
122 B
15. Decision Trees/0. Websites you may like/[FreeCourseSite.com].url
127 B
15. Decision Trees/0. Websites you may like/[GigaCourse.Com].url
49 B
15. Decision Trees/1. Decision Trees Introduction.mp4
78 MB
15. Decision Trees/2. Decision Trees Example.mp4
137 MB
15. Decision Trees/3. Entropy.mp4
118 MB
15. Decision Trees/4. CODE Entropy.mp4
70 MB
15. Decision Trees/5. Information Gain.mp4
200 MB
15. Decision Trees/6. CODE Split Data.mp4
136 MB
15. Decision Trees/7. CODE Information Gain.mp4
94 MB
15. Decision Trees/8. Construction of Decision Trees.mp4
66 MB
15. Decision Trees/9. Stopping Conditions.mp4
98 MB
16. Decision Trees Implementation/1. CODE - Decision Tree Node.mp4
61 MB
16. Decision Trees Implementation/10. Decision Trees for Regression.mp4
90 MB
16. Decision Trees Implementation/11. Decision Tree Code - Sklearn.mp4
37 MB
16. Decision Trees Implementation/2. CODE - Train Decision Tree.mp4
120 MB
16. Decision Trees Implementation/3. CODE - Assign Target Variable to Each Node.mp4
60 MB
16. Decision Trees Implementation/4. CODE - Stopping Conditions.mp4
72 MB
16. Decision Trees Implementation/5. CODE - Train Child Nodes.mp4
83 MB
16. Decision Trees Implementation/6. CODE - Explore Decision Tree Model.mp4
102 MB
16. Decision Trees Implementation/7. CODE - Prediction.mp4
116 MB
16. Decision Trees Implementation/8. Handling Numeric Features.mp4
110 MB
16. Decision Trees Implementation/9. Bias Variance Tradeoff.mp4
59 MB
17. PROJECT Titanic Survival Prediction/1. Project Overview.mp4
101 MB
17. PROJECT Titanic Survival Prediction/1.1 titanic_train.csv
59 kB
17. PROJECT Titanic Survival Prediction/2. Exploratory Data Analysis.mp4
84 MB
17. PROJECT Titanic Survival Prediction/3. Exploratory Data Analysis - II.mp4
79 MB
17. PROJECT Titanic Survival Prediction/4. Data Preparation for ML Model.mp4
83 MB
17. PROJECT Titanic Survival Prediction/5. Handling Missing Values.mp4
95 MB
17. PROJECT Titanic Survival Prediction/6. Decision Tree Model Building.mp4
78 MB
17. PROJECT Titanic Survival Prediction/7. Visualize Decision Tree.mp4
93 MB
18. Ensemble Learning Bagging/1. Ensemble Learning.mp4
69 MB
18. Ensemble Learning Bagging/2. Bagging Model.mp4
129 MB
18. Ensemble Learning Bagging/3. Why Bagging Helps.mp4
143 MB
18. Ensemble Learning Bagging/4. Random Forest Algorithm.mp4
118 MB
18. Ensemble Learning Bagging/5. Bias Variance Tradeoff.mp4
127 MB
18. Ensemble Learning Bagging/6. CODE Random Forest.mp4
116 MB
19. Ensemble Learning Boosting/1. Boosting Introduction.mp4
120 MB
19. Ensemble Learning Boosting/2. Boosting Intuition.mp4
134 MB
19. Ensemble Learning Boosting/3. Boosting Mathematical Formulation.mp4
212 MB
19. Ensemble Learning Boosting/4. Concept of Pseudo Residuals.mp4
153 MB
19. Ensemble Learning Boosting/5. GBDT Algorithm.mp4
245 MB
19. Ensemble Learning Boosting/6. Bias Variance Tradeoff.mp4
83 MB
19. Ensemble Learning Boosting/7. CODE - Gradient Boosting Decision Trees.mp4
132 MB
19. Ensemble Learning Boosting/8. XGBoost.mp4
119 MB
19. Ensemble Learning Boosting/9. Adaptive Boosting (AdaBoost).mp4
119 MB
2. Supervised vs Unsupervised Learning/1. Supervised Learning Introduction.mp4
78 MB
2. Supervised vs Unsupervised Learning/2. Supervised Learning Example.mp4
198 MB
2. Supervised vs Unsupervised Learning/3. Unsupervised Learning.mp4
94 MB
20. PROJECT Customer Churn Prediction/1. Project Overview.mp4
122 MB
20. PROJECT Customer Churn Prediction/2. Exploratory Data Analysis.mp4
103 MB
20. PROJECT Customer Churn Prediction/3. Data Visualisation.mp4
52 MB
20. PROJECT Customer Churn Prediction/4. Finding relations.mp4
68 MB
20. PROJECT Customer Churn Prediction/5. Data Preparation.mp4
61 MB
20. PROJECT Customer Churn Prediction/6. Model Building.mp4
75 MB
20. PROJECT Customer Churn Prediction/7. Hyperparameter tuning.mp4
101 MB
21. Deep Learning Introduction - Neural Network/1. Biological Neural Network.mp4
28 MB
21. Deep Learning Introduction - Neural Network/10. CODE - Model Building.mp4
46 MB
21. Deep Learning Introduction - Neural Network/11. CODE - Model Training and Testing.mp4
85 MB
21. Deep Learning Introduction - Neural Network/2. A Neuron.mp4
34 MB
21. Deep Learning Introduction - Neural Network/3. How does a perceptron Learns.mp4
43 MB
21. Deep Learning Introduction - Neural Network/4. Gradient Descent Updates.mp4
53 MB
21. Deep Learning Introduction - Neural Network/5. Neural Networks.mp4
58 MB
21. Deep Learning Introduction - Neural Network/6. 3 Layer NN.mp4
28 MB
21. Deep Learning Introduction - Neural Network/7. Why Neural Nets.mp4
50 MB
21. Deep Learning Introduction - Neural Network/8. Tensorflow Playground.mp4
89 MB
21. Deep Learning Introduction - Neural Network/9. CODE -Data Preparation.mp4
44 MB
22. PROJECT Pokemon Image Classification/1. Introduction.mp4
36 MB
22. PROJECT Pokemon Image Classification/1.1 Dataset Link.html
129 B
22. PROJECT Pokemon Image Classification/10. Predictions.mp4
30 MB
22. PROJECT Pokemon Image Classification/2. The Data.mp4
49 MB
22. PROJECT Pokemon Image Classification/3. Structured Data.mp4
32 MB
22. PROJECT Pokemon Image Classification/4. Data Loading.mp4
43 MB
22. PROJECT Pokemon Image Classification/5. Data Preprocessing.mp4
50 MB
22. PROJECT Pokemon Image Classification/6. Model Architecture.mp4
33 MB
22. PROJECT Pokemon Image Classification/7. Softmax Function.mp4
18 MB
22. PROJECT Pokemon Image Classification/8. Model Training.mp4
17 MB
22. PROJECT Pokemon Image Classification/9. Model evaluation.mp4
50 MB
3. Linear Regression/1. Introduction to Linear Regression.mp4
27 MB
3. Linear Regression/10. Code 01 - Data Generation.mp4
68 MB
3. Linear Regression/11. Code 02 - Data Normalisation.mp4
171 MB
3. Linear Regression/12. Code 03 - Train Test Split.mp4
89 MB
3. Linear Regression/13. Code 04 - Modelling.mp4
118 MB
3. Linear Regression/14. Code 05 - Predictions.mp4
54 MB
3. Linear Regression/15. R2 Score.mp4
139 MB
3. Linear Regression/16. Code 06 - Evaluation.mp4
29 MB
3. Linear Regression/17. Code 07 - Visualisation.mp4
103 MB
3. Linear Regression/18. Code 08 - Trajectory [Optional].mp4
94 MB
3. Linear Regression/2. Notation.mp4
171 MB
3. Linear Regression/3. Hypothesis.mp4
95 MB
3. Linear Regression/4. Loss Error Function.mp4
195 MB
3. Linear Regression/5. Training Idea.mp4
48 MB
3. Linear Regression/6. Gradient Descent Optimisation.mp4
110 MB
3. Linear Regression/7. Gradient Descent Code.mp4
271 MB
3. Linear Regression/8. Gradient Descent - for Linear Regression.mp4
52 MB
3. Linear Regression/9. The Math of Training.mp4
105 MB
4. Linear Regression - Multiple Features/0. Websites you may like/[CourseClub.Me].url
122 B
4. Linear Regression - Multiple Features/0. Websites you may like/[FreeCourseSite.com].url
127 B
4. Linear Regression - Multiple Features/0. Websites you may like/[GigaCourse.Com].url
49 B
4. Linear Regression - Multiple Features/1. Introduction.mp4
88 MB
4. Linear Regression - Multiple Features/10. A Note about Shapes.mp4
30 MB
4. Linear Regression - Multiple Features/11. Code 06 - Evaluation.mp4
51 MB
4. Linear Regression - Multiple Features/12. Linear Regression using Sk-Learn.mp4
35 MB
4. Linear Regression - Multiple Features/2. Hypothesis.mp4
29 MB
4. Linear Regression - Multiple Features/3. Loss Function.mp4
33 MB
4. Linear Regression - Multiple Features/4. Training & Gradient Updates.mp4
43 MB
4. Linear Regression - Multiple Features/5. Code 01 - Data Prep.mp4
104 MB
4. Linear Regression - Multiple Features/6. Code 02 - Hypothesis.mp4
78 MB
4. Linear Regression - Multiple Features/7. Code 03 - Loss Function.mp4
22 MB
4. Linear Regression - Multiple Features/8. Code 04 - Gradient Computation.mp4
222 MB
4. Linear Regression - Multiple Features/9. Code 05 - Training Loop.mp4
87 MB
5. Logistic Regression/1. Binary Classification Introduction.mp4
86 MB
5. Logistic Regression/10. Code 05 - Training Loop.mp4
62 MB
5. Logistic Regression/11. Code 06 - Visualise Decision Boundary.mp4
43 MB
5. Logistic Regression/12. Code 07 - Predictions & Accuracy.mp4
56 MB
5. Logistic Regression/13. Logistic Regression using Sk-Learn.mp4
30 MB
5. Logistic Regression/14. Multiclass Classification One Vs Rest.mp4
72 MB
5. Logistic Regression/15. Multiclass Classification One Vs One.mp4
34 MB
5. Logistic Regression/2. Notation.mp4
105 MB
5. Logistic Regression/3. Hypothesis Function.mp4
272 MB
5. Logistic Regression/4. Binary Cross-Entropy Loss Function.mp4
91 MB
5. Logistic Regression/5. Gradient Update Rule.mp4
147 MB
5. Logistic Regression/6. Code 01 - Data Prep.mp4
80 MB
5. Logistic Regression/7. Code 02 - Hypothesis Logit Model.mp4
34 MB
5. Logistic Regression/8. Code 03 - Binary Cross Entropy Loss.mp4
19 MB
5. Logistic Regression/9. Code 04 - Gradient Computation.mp4
45 MB
6. Dimensionality Reduction Feature Selection/1. Curse of Dimensionality.mp4
17 MB
6. Dimensionality Reduction Feature Selection/2. Feature Selection Vs. Feature Extraction.mp4
15 MB
6. Dimensionality Reduction Feature Selection/3. Filter Method.mp4
24 MB
6. Dimensionality Reduction Feature Selection/4. Wrapper Method.mp4
23 MB
6. Dimensionality Reduction Feature Selection/5. Embedded Method.mp4
13 MB
6. Dimensionality Reduction Feature Selection/6. Feature Selection - Code.mp4
64 MB
6. Dimensionality Reduction Feature Selection/6.1 train.csv
120 kB
7. Principal Component Analysis (PCA)/1. Introduction to PCA.mp4
63 MB
7. Principal Component Analysis (PCA)/2. Conceptual Overview of PCA.mp4
141 MB
7. Principal Component Analysis (PCA)/3. Maximising Variance.mp4
178 MB
7. Principal Component Analysis (PCA)/4. Minimising Distances.mp4
95 MB
7. Principal Component Analysis (PCA)/5. Eigen Values & Eigen Vectors.mp4
48 MB
7. Principal Component Analysis (PCA)/6. PCA Summary.mp4
18 MB
7. Principal Component Analysis (PCA)/7. Understanding Eigen Values.mp4
45 MB
7. Principal Component Analysis (PCA)/8. PCA Code.mp4
51 MB
7. Principal Component Analysis (PCA)/9. Choosing the right dimensions.mp4
45 MB
8. K-Nearest Neigbours/1. Introduction.mp4
45 MB
8. K-Nearest Neigbours/2. KNN Idea.mp4
34 MB
8. K-Nearest Neigbours/3. KNN Data Prep.mp4
29 MB
8. K-Nearest Neigbours/4. KNN Algorithm Code.mp4
91 MB
8. K-Nearest Neigbours/5. Euclidean and Manhattan Distance.mp4
15 MB
8. K-Nearest Neigbours/6. Deciding value of K.mp4
6.8 MB
8. K-Nearest Neigbours/7. KNN and Data Standardisation.mp4
15 MB
8. K-Nearest Neigbours/8. KNN Pros and Cons.mp4
54 MB
8. K-Nearest Neigbours/9. KNN using Sk-Learn.html
405 B
9. PROJECT - Face Recognition/1. OpenCV - Working with Images.mp4
34 MB
9. PROJECT - Face Recognition/2. OpenCV - Video Input from WebCam.mp4
34 MB
9. PROJECT - Face Recognition/3. Object Detection using Haarcascades.mp4
80 MB
9. PROJECT - Face Recognition/4. Face Detection in Images.mp4
79 MB
9. PROJECT - Face Recognition/5. Face Detection in Live Video.mp4
49 MB
9. PROJECT - Face Recognition/6. Face Recognition Project Intro.mp4
15 MB
9. PROJECT - Face Recognition/7. Face Recognition 01 - Data Collection.mp4
198 MB
9. PROJECT - Face Recognition/8. Face Recognition 02 - Loading Data.mp4
72 MB
9. PROJECT - Face Recognition/9. Face Recognition 03 - Predictions using KNN.mp4
100 MB