WebToolTip com Udemy Machine Learning Using Python Programming | 4B04682E96753357E602C43C536589886A306233

WebToolTip com Udemy Machine Learning Using Python Programming

Name	[ WebToolTip.com ] Udemy - Machine Learning Using Python Programming	DOWNLOAD Copy Link Trouble downloading? see How To
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Total Files	146
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Hash	4B04682E96753357E602C43C536589886A306233

/
Get Bonus Downloads Here.url	0.2 KB
/.../1 - Introduction to Machine Learning/
1 - Introduction to Machine Learning English.vtt	6.9 KB
1 - Introduction to Machine Learning.mp4	32.0 MB
2 - 2 Features of Machine Learning English.vtt	3.1 KB
2 - 2 Features of Machine Learning.mp4	18.2 MB
3 - 3 Traditional Programming vs Machine Learning English.vtt	7.4 KB
3 - 3 Traditional Programming vs Machine Learning.mp4	22.9 MB
/.../10 - Support Vector Machines/
45 - 42 Understanding Support Vector Machines and Hyperplanes English.vtt	13.8 KB
45 - 42 Understanding Support Vector Machines and Hyperplanes.mp4	55.2 MB
46 - 43 Understanding the Kernels of SVM English.vtt	3.1 KB
46 - 43 Understanding the Kernels of SVM.mp4	14.4 MB
47 - 44 Implementing Support Vector Classifiers in Python English.vtt	8.4 KB
47 - 44 Implementing Support Vector Classifiers in Python.mp4	54.8 MB
/.../11 - K Nearest Neighbors for Classification and Regression/
48 - 45 Drawing the classification diagrams English.vtt	7.4 KB
48 - 45 Drawing the classification diagrams.mp4	31.9 MB
49 - 46 Introduction to KNearest Neighbors English.vtt	3.9 KB
49 - 46 Introduction to KNearest Neighbors.mp4	17.0 MB
50 - 47 Steps in KNN Classification and KNN Regression English.vtt	8.3 KB
50 - 47 Steps in KNN Classification and KNN Regression.mp4	37.7 MB
51 - 48 Implementing KNN Classification using sklearn English.vtt	6.9 KB
51 - 48 Implementing KNN Classification using sklearn.mp4	56.2 MB
52 - 49 Implementing KNN Regression Algorithm in Python I English.vtt	5.1 KB
52 - 49 Implementing KNN Regression Algorithm in Python I.mp4	34.1 MB
53 - 50 Implementing KNN Regression Algorithm in Python II English.vtt	2.1 KB
53 - 50 Implementing KNN Regression Algorithm in Python II.mp4	19.2 MB
/.../12 - Decision Tree Classifier Algorithm/
54 - 51 Introduction to Decision Trees English.vtt	0.9 KB
54 - 51 Introduction to Decision Trees.mp4	2.0 MB
55 - 52 Basic Tree Terminologies English.vtt	19.3 KB
55 - 52 Basic Tree Terminologies.mp4	94.4 MB
56 - 53 Example 1 for Decision Tree English.vtt	3.4 KB
56 - 53 Example 1 for Decision Tree.mp4	15.0 MB
57 - 531 Example 2 for Decision Tree English.vtt	2.7 KB
57 - 531 Example 2 for Decision Tree.mp4	9.2 MB
58 - 54 Implementation of Decision Tree Algorithm I English.vtt	3.5 KB
58 - 54 Implementation of Decision Tree Algorithm I.mp4	26.8 MB
59 - 55 Implementation of Decision Tree Algorithm II English.vtt	2.7 KB
59 - 55 Implementation of Decision Tree Algorithm II.mp4	23.6 MB
/.../13 - Random Forest Classifier Algorithm/
60 - 56 Ensemble Techniques Random Forest Classifier English.vtt	9.1 KB
60 - 56 Ensemble Techniques Random Forest Classifier.mp4	43.4 MB
61 - 57 Implementing Random Classifier in Python English.vtt	7.4 KB
61 - 57 Implementing Random Classifier in Python.mp4	56.9 MB
/.../14 - Naive Bayes Algorithm/
62 - 59 Naive Bayes Classifier English.vtt	13.9 KB
62 - 59 Naive Bayes Classifier.mp4	64.4 MB
63 - 60 Implementing Naive Bayes Classifier for wine dataset English.vtt	17.3 KB
63 - 60 Implementing Naive Bayes Classifier for wine dataset.mp4	148.6 MB
/15 - Resources/
64 - Download all the notebooks and datasets here.html	0.1 KB
/15 - Resources/Notebooks/
Decision Tree.ipynb	36.4 KB
KNN Regression.ipynb	36.7 KB
KNN.ipynb	4.6 KB
LinearRegression.ipynb	39.0 KB
LogisticRegression.ipynb	15.3 KB
MyFirstNotebook.ipynb	17.3 KB
Naive Bayes' Algorithm.ipynb	9.3 KB
Naive Bayes' Classifier.ipynb	27.0 KB
Preprocessing Techniques.ipynb	2.5 KB
Product.csv	10.9 KB
Random Forest Classifier.ipynb	9.3 KB
SVM.ipynb	8.5 KB
Salary_Data.csv	0.5 KB
car.csv	10.5 KB
/.../16 - KMeans Clustering/
65 - The complete flow of KMeans Clustering English.vtt	19.8 KB
65 - The complete flow of KMeans Clustering.mp4	93.4 MB
66 - The concept of Overfitting and Underfitting English.vtt	18.5 KB
66 - The concept of Overfitting and Underfitting.mp4	82.8 MB
/.../2 - Types of Machine Learning/
4 - 4 Difference between Supervised and Unsupervised Learning English.vtt	9.4 KB
4 - 4 Difference between Supervised and Unsupervised Learning.mp4	41.1 MB
5 - 5 Algorithms in Supervised and Unsupervised Learning English.vtt	3.9 KB
5 - 5 Algorithms in Supervised and Unsupervised Learning.mp4	13.5 MB
/.../3 - The Machine Learning Pipeline/
10 - 10 Introduction to iPython Environment English.vtt	10.6 KB
10 - 10 Introduction to iPython Environment.mp4	54.1 MB
11 - Important Libraries in Python.html	0.4 KB
6 - 6 The Machine Learning Pipeline Data Collection English.vtt	9.6 KB
6 - 6 The Machine Learning Pipeline Data Collection.mp4	45.9 MB
7 - 7 Importance of Data Prepocessing English.vtt	3.5 KB
7 - 7 Importance of Data Prepocessing.mp4	18.8 MB
8 - 8 Importance of Feature Selection and Feature Engineering English.vtt	11.0 KB
8 - 8 Importance of Feature Selection and Feature Engineering.mp4	55.0 MB
9 - 9 The Machine Learning Terminologies English.vtt	7.7 KB
9 - 9 The Machine Learning Terminologies.mp4	38.3 MB
/4 - Numpy Library/
12 - 11Creating a numpy array English.vtt	17.4 KB
12 - 11Creating a numpy array.mp4	52.0 MB
13 - 12 Processing the numpy arrays English.vtt	16.9 KB
13 - 12 Processing the numpy arrays.mp4	61.0 MB
14 - 13 Accessing Columns from Numpy Matrices English.vtt	5.1 KB
14 - 13 Accessing Columns from Numpy Matrices.mp4	19.5 MB
15 - 14 Statistical methods in Numpy English.vtt	15.0 KB
15 - 14 Statistical methods in Numpy.mp4	58.9 MB
16 - 15 Matrix Operations in Numpy English.vtt	13.9 KB
16 - 15 Matrix Operations in Numpy.mp4	56.1 MB
17 - 16 Iterating through the numpy array English.vtt	6.1 KB
17 - 16 Iterating through the numpy array.mp4	25.7 MB
/5 - Pandas Library/
18 - 17 An Intuition on Pandas Dataframe and Series English.vtt	6.7 KB
18 - 17 An Intuition on Pandas Dataframe and Series.mp4	29.5 MB
19 - 18 Using numpy arrays to create Pandas Series English.vtt	8.3 KB
19 - 18 Using numpy arrays to create Pandas Series.mp4	30.1 MB
20 - 19 Using dictionary to create Pandas Series English.vtt	7.4 KB
20 - 19 Using dictionary to create Pandas Series.mp4	27.7 MB
21 - 20 Using a scalar to create Pandas Series English.vtt	2.1 KB
21 - 20 Using a scalar to create Pandas Series.mp4	11.1 MB
22 - 21 Series Processing English.vtt	1.6 KB
22 - 21 Series Processing.mp4	8.9 MB
23 - 22 Creating Pandas Dataframe from series English.vtt	7.2 KB
23 - 22 Creating Pandas Dataframe from series.mp4	25.6 MB
24 - 23 Using lists of data to create a Pandas Dataframe English.vtt	5.1 KB
24 - 23 Using lists of data to create a Pandas Dataframe.mp4	22.0 MB
25 - 24 Another approach to create Dataframes English.vtt	4.4 KB
25 - 24 Another approach to create Dataframes.mp4	22.6 MB
26 - 25 Directly creating a pandas dataframe from numpy arrays English.vtt	1.8 KB
26 - 25 Directly creating a pandas dataframe from numpy arrays.mp4	8.6 MB
/.../6 - Analysis of Datasets using Pandas and Matplotlib Library/
27 - 26 Loading the dataset Important English.vtt	6.9 KB
27 - 26 Loading the dataset Important.mp4	33.8 MB
28 - 27 Analysis of Datasets I English.vtt	7.5 KB
28 - 27 Analysis of Datasets I.mp4	44.0 MB
29 - 28 Analysis of Datasets by Plotting II English.vtt	17.5 KB
29 - 28 Analysis of Datasets by Plotting II.mp4	74.5 MB
/.../7 - The Scikitlearn Library and Preprocessing Techniques/
30 - 29 Working with Iris Dataset from sklearn English.vtt	32.9 KB
30 - 29 Working with Iris Dataset from sklearn.mp4	203.6 MB
31 - 30 Binarization English.vtt	9.8 KB
31 - 30 Binarization.mp4	45.3 MB
32 - 31 Feature Scaling English.vtt	9.6 KB
32 - 31 Feature Scaling.mp4	49.1 MB
/.../8 - Supervised Learning Linear Regression/
33 - 32 Analysis of Linear Regression English.vtt	21.8 KB
33 - 32 Analysis of Linear Regression.mp4	77.4 MB
34 - Use of Gradient Descent Optimizer English.vtt	10.9 KB
34 - Use of Gradient Descent Optimizer.mp4	34.6 MB
35 - The Gradient Descent Optimizer Algorithm English.vtt	28.3 KB
35 - The Gradient Descent Optimizer Algorithm.mp4	85.0 MB
36 - 33 Demand vs Price Problem to understand Linear Regression English.vtt	11.9 KB
36 - 33 Demand vs Price Problem to understand Linear Regression.mp4	74.8 MB
37 - 34 Implementation of Linear Regression I English.vtt	13.0 KB
37 - 34 Implementation of Linear Regression I.mp4	79.5 MB
38 - 35 Implementation of Linear Regression II English.vtt	7.0 KB
38 - 35 Implementation of Linear Regression II.mp4	50.5 MB
39 - 36 Visualizing the LBF using matplotlib English.vtt	4.9 KB
39 - 36 Visualizing the LBF using matplotlib.mp4	24.5 MB
/.../9 - Logistic Regression for Classification Problems/
40 - 37 Why does Linear Regression fail for a classification problem English.vtt	11.5 KB
40 - 37 Why does Linear Regression fail for a classification problem.mp4	41.0 MB
41 - 38 The Sigmoid function in Logistic Regression English.vtt	6.4 KB
41 - 38 The Sigmoid function in Logistic Regression.mp4	25.2 MB
42 - 39 The Confusion Matrix English.vtt	14.6 KB
42 - 39 The Confusion Matrix.mp4	63.1 MB
43 - 40 Implementation of Logistic Regression I English.vtt	20.7 KB
43 - 40 Implementation of Logistic Regression I.mp4	157.6 MB
44 - 41 Creating an heatmap of the confusion matrix English.vtt	4.2 KB
44 - 41 Creating an heatmap of the confusion matrix.mp4	23.1 MB
~Get Your Files Here !/
Bonus Resources.txt	0.1 KB
Total files 146