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Mastering Machine Learning Algorithms using Python

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File Name
Size
Chapter 13 Introduction to Deep Learning/001. Introduction to Deep Learning.mp4
251 MB
Chapter 01 Introduction to Machine Learning/001. Course Introduction.mp4
55 MB
Chapter 01 Introduction to Machine Learning/002. Introduction to Machine Learning.en.srt
17 kB
Chapter 01 Introduction to Machine Learning/002. Introduction to Machine Learning.mp4
44 MB
Chapter 01 Introduction to Machine Learning/003. Machine Learning Terminology.en.srt
20 kB
Chapter 01 Introduction to Machine Learning/003. Machine Learning Terminology.mp4
41 MB
Chapter 01 Introduction to Machine Learning/004. History of Machine Learning.en.srt
22 kB
Chapter 01 Introduction to Machine Learning/004. History of Machine Learning.mp4
110 MB
Chapter 01 Introduction to Machine Learning/005. Machine Learning Use Cases and Types.en.srt
30 kB
Chapter 01 Introduction to Machine Learning/005. Machine Learning Use Cases and Types.mp4
71 MB
Chapter 01 Introduction to Machine Learning/006. Role of Data in Machine Learning.en.srt
8.7 kB
Chapter 01 Introduction to Machine Learning/006. Role of Data in Machine Learning.mp4
27 MB
Chapter 01 Introduction to Machine Learning/007. Challenges in Machine Learning.en.srt
27 kB
Chapter 01 Introduction to Machine Learning/007. Challenges in Machine Learning.mp4
91 MB
Chapter 01 Introduction to Machine Learning/008. Machine Learning Life Cycle and Pipelines.en.srt
29 kB
Chapter 01 Introduction to Machine Learning/008. Machine Learning Life Cycle and Pipelines.mp4
77 MB
Chapter 01 Introduction to Machine Learning/009. Regression Problems.en.srt
15 kB
Chapter 01 Introduction to Machine Learning/009. Regression Problems.mp4
39 MB
Chapter 01 Introduction to Machine Learning/010. Regression Models and Performance Metrics.en.srt
17 kB
Chapter 01 Introduction to Machine Learning/010. Regression Models and Performance Metrics.mp4
52 MB
Chapter 01 Introduction to Machine Learning/011. Classification Problems and Performance Metrics.en.srt
18 kB
Chapter 01 Introduction to Machine Learning/011. Classification Problems and Performance Metrics.mp4
49 MB
Chapter 01 Introduction to Machine Learning/012. Optimizing Classification Metrics.en.srt
14 kB
Chapter 01 Introduction to Machine Learning/012. Optimizing Classification Metrics.mp4
74 MB
Chapter 01 Introduction to Machine Learning/013. Bias and Variance.en.srt
13 kB
Chapter 01 Introduction to Machine Learning/013. Bias and Variance.mp4
35 MB
Chapter 02 Statistical Techniques/001. Statistics and Experiments.en.srt
28 kB
Chapter 02 Statistical Techniques/001. Statistics and Experiments.mp4
64 MB
Chapter 02 Statistical Techniques/002. Types of Data and Descriptive Statistics.en.srt
27 kB
Chapter 02 Statistical Techniques/002. Types of Data and Descriptive Statistics.mp4
65 MB
Chapter 02 Statistical Techniques/003. Random Variables and Normal Distribution.en.srt
8.4 kB
Chapter 02 Statistical Techniques/003. Random Variables and Normal Distribution.mp4
26 MB
Chapter 02 Statistical Techniques/004. Histograms and Normal Approximation.en.srt
26 kB
Chapter 02 Statistical Techniques/004. Histograms and Normal Approximation.mp4
89 MB
Chapter 02 Statistical Techniques/005. Central Limit Theorem.en.srt
24 kB
Chapter 02 Statistical Techniques/005. Central Limit Theorem.mp4
76 MB
Chapter 02 Statistical Techniques/006. Probability Theory.en.srt
17 kB
Chapter 02 Statistical Techniques/006. Probability Theory.mp4
65 MB
Chapter 02 Statistical Techniques/007. Binomial Theory - Expected Value and Standard Error.en.srt
25 kB
Chapter 02 Statistical Techniques/007. Binomial Theory - Expected Value and Standard Error.mp4
81 MB
Chapter 02 Statistical Techniques/008. Hypothesis Testing.en.srt
31 kB
Chapter 02 Statistical Techniques/008. Hypothesis Testing.mp4
96 MB
Chapter 03 Learning Python/001. Introduction to Python.en.srt
11 kB
Chapter 03 Learning Python/001. Introduction to Python.mp4
26 MB
Chapter 03 Learning Python/002. Starting with Python with Jupyter Notebook.en.srt
15 kB
Chapter 03 Learning Python/002. Starting with Python with Jupyter Notebook.mp4
42 MB
Chapter 03 Learning Python/003. Python Variables and Conditions.en.srt
32 kB
Chapter 03 Learning Python/003. Python Variables and Conditions.mp4
84 MB
Chapter 03 Learning Python/004. Python Iterations 1.en.srt
19 kB
Chapter 03 Learning Python/004. Python Iterations 1.mp4
47 MB
Chapter 03 Learning Python/005. Python Iterations 2.en.srt
14 kB
Chapter 03 Learning Python/005. Python Iterations 2.mp4
38 MB
Chapter 03 Learning Python/006. Python Lists.en.srt
20 kB
Chapter 03 Learning Python/006. Python Lists.mp4
76 MB
Chapter 03 Learning Python/007. Python Tuples.en.srt
24 kB
Chapter 03 Learning Python/007. Python Tuples.mp4
86 MB
Chapter 03 Learning Python/008. Python Dictionaries 1.en.srt
20 kB
Chapter 03 Learning Python/008. Python Dictionaries 1.mp4
82 MB
Chapter 03 Learning Python/009. Python Dictionaries 2.en.srt
6.7 kB
Chapter 03 Learning Python/009. Python Dictionaries 2.mp4
31 MB
Chapter 03 Learning Python/010. Python Sets 1.en.srt
34 kB
Chapter 03 Learning Python/010. Python Sets 1.mp4
130 MB
Chapter 03 Learning Python/011. Python Sets 2.en.srt
2.7 kB
Chapter 03 Learning Python/011. Python Sets 2.mp4
9.8 MB
Chapter 03 Learning Python/012. Numpy Arrays 1.en.srt
20 kB
Chapter 03 Learning Python/012. Numpy Arrays 1.mp4
64 MB
Chapter 03 Learning Python/013. Numpy Arrays 2.en.srt
20 kB
Chapter 03 Learning Python/013. Numpy Arrays 2.mp4
66 MB
Chapter 03 Learning Python/014. Numpy Arrays 3.en.srt
18 kB
Chapter 03 Learning Python/014. Numpy Arrays 3.mp4
53 MB
Chapter 03 Learning Python/015. Pandas Series 1.en.srt
21 kB
Chapter 03 Learning Python/015. Pandas Series 1.mp4
70 MB
Chapter 03 Learning Python/016. Pandas Series 2.en.srt
22 kB
Chapter 03 Learning Python/016. Pandas Series 2.mp4
94 MB
Chapter 03 Learning Python/017. Pandas Series 3.en.srt
22 kB
Chapter 03 Learning Python/017. Pandas Series 3.mp4
80 MB
Chapter 03 Learning Python/018. Pandas Series 4.en.srt
20 kB
Chapter 03 Learning Python/018. Pandas Series 4.mp4
73 MB
Chapter 03 Learning Python/019. Pandas DataFrame 1.en.srt
21 kB
Chapter 03 Learning Python/019. Pandas DataFrame 1.mp4
61 MB
Chapter 03 Learning Python/020. Pandas DataFrame 2.en.srt
19 kB
Chapter 03 Learning Python/020. Pandas DataFrame 2.mp4
58 MB
Chapter 03 Learning Python/021. Pandas DataFrame 3.en.srt
18 kB
Chapter 03 Learning Python/021. Pandas DataFrame 3.mp4
69 MB
Chapter 03 Learning Python/022. Pandas DataFrame 4.en.srt
18 kB
Chapter 03 Learning Python/022. Pandas DataFrame 4.mp4
58 MB
Chapter 03 Learning Python/023. Pandas DataFrame 5.en.srt
28 kB
Chapter 03 Learning Python/023. Pandas DataFrame 5.mp4
120 MB
Chapter 03 Learning Python/024. Pandas DataFrame 6.en.srt
20 kB
Chapter 03 Learning Python/024. Pandas DataFrame 6.mp4
67 MB
Chapter 03 Learning Python/025. Python User Defined Functions.en.srt
20 kB
Chapter 03 Learning Python/025. Python User Defined Functions.mp4
50 MB
Chapter 03 Learning Python/026. Python Lambda Functions.en.srt
27 kB
Chapter 03 Learning Python/026. Python Lambda Functions.mp4
78 MB
Chapter 03 Learning Python/027. Python Lambda Functions and Date-Time Operations.en.srt
24 kB
Chapter 03 Learning Python/027. Python Lambda Functions and Date-Time Operations.mp4
64 MB
Chapter 03 Learning Python/028. Python String Operations.en.srt
18 kB
Chapter 03 Learning Python/028. Python String Operations.mp4
45 MB
Chapter 04 Exploratory Data Analysis/001. Exploratory Data Analysis.en.srt
23 kB
Chapter 04 Exploratory Data Analysis/001. Exploratory Data Analysis.mp4
55 MB
Chapter 04 Exploratory Data Analysis/002. Tools and Processes of EDA.en.srt
24 kB
Chapter 04 Exploratory Data Analysis/002. Tools and Processes of EDA.mp4
67 MB
Chapter 04 Exploratory Data Analysis/003. EDA Project 1.en.srt
23 kB
Chapter 04 Exploratory Data Analysis/003. EDA Project 1.mp4
80 MB
Chapter 04 Exploratory Data Analysis/004. EDA Project 2.en.srt
21 kB
Chapter 04 Exploratory Data Analysis/004. EDA Project 2.mp4
61 MB
Chapter 04 Exploratory Data Analysis/005. EDA Project 3.en.srt
13 kB
Chapter 04 Exploratory Data Analysis/005. EDA Project 3.mp4
30 MB
Chapter 04 Exploratory Data Analysis/006. EDA Project 4.en.srt
26 kB
Chapter 04 Exploratory Data Analysis/006. EDA Project 4.mp4
65 MB
Chapter 04 Exploratory Data Analysis/007. EDA Project 5.en.srt
22 kB
Chapter 04 Exploratory Data Analysis/007. EDA Project 5.mp4
72 MB
Chapter 04 Exploratory Data Analysis/008. EDA Project 6.en.srt
25 kB
Chapter 04 Exploratory Data Analysis/008. EDA Project 6.mp4
78 MB
Chapter 04 Exploratory Data Analysis/009. EDA Project 7.en.srt
38 kB
Chapter 04 Exploratory Data Analysis/009. EDA Project 7.mp4
132 MB
Chapter 05 Linear Regression/001. Linear Regression Introduction.en.srt
27 kB
Chapter 05 Linear Regression/001. Linear Regression Introduction.mp4
52 MB
Chapter 05 Linear Regression/002. Training and Cost Function.en.srt
35 kB
Chapter 05 Linear Regression/002. Training and Cost Function.mp4
80 MB
Chapter 05 Linear Regression/003. Cost Functions and Gradient Descent.en.srt
18 kB
Chapter 05 Linear Regression/003. Cost Functions and Gradient Descent.mp4
68 MB
Chapter 05 Linear Regression/004. Linear Regression - Practical Approach.en.srt
23 kB
Chapter 05 Linear Regression/004. Linear Regression - Practical Approach.mp4
58 MB
Chapter 05 Linear Regression/005. Feature Scaling and Cost Functions.en.srt
18 kB
Chapter 05 Linear Regression/005. Feature Scaling and Cost Functions.mp4
53 MB
Chapter 05 Linear Regression/006. OLS Assumptions and Testing.en.srt
26 kB
Chapter 05 Linear Regression/006. OLS Assumptions and Testing.mp4
87 MB
Chapter 05 Linear Regression/007. Car Price Prediction.en.srt
20 kB
Chapter 05 Linear Regression/007. Car Price Prediction.mp4
72 MB
Chapter 05 Linear Regression/008. Data Preparation and Analysis 1.en.srt
19 kB
Chapter 05 Linear Regression/008. Data Preparation and Analysis 1.mp4
48 MB
Chapter 05 Linear Regression/009. Data Preparation and Analysis 2.en.srt
21 kB
Chapter 05 Linear Regression/009. Data Preparation and Analysis 2.mp4
55 MB
Chapter 05 Linear Regression/010. Data Preparation and Analysis 3.en.srt
26 kB
Chapter 05 Linear Regression/010. Data Preparation and Analysis 3.mp4
100 MB
Chapter 05 Linear Regression/011. Model Building.en.srt
22 kB
Chapter 05 Linear Regression/011. Model Building.mp4
83 MB
Chapter 05 Linear Regression/012. Model Evaluation and Optimization.en.srt
20 kB
Chapter 05 Linear Regression/012. Model Evaluation and Optimization.mp4
76 MB
Chapter 05 Linear Regression/013. Model Optimization.en.srt
4.6 kB
Chapter 05 Linear Regression/013. Model Optimization.mp4
14 MB
Chapter 06 Logistic Regression/001. Logistic Regression Introduction.en.srt
20 kB
Chapter 06 Logistic Regression/001. Logistic Regression Introduction.mp4
77 MB
Chapter 06 Logistic Regression/002. Logit Model.en.srt
35 kB
Chapter 06 Logistic Regression/002. Logit Model.mp4
92 MB
Chapter 06 Logistic Regression/003. Telecom Churn Case Study.en.srt
25 kB
Chapter 06 Logistic Regression/003. Telecom Churn Case Study.mp4
78 MB
Chapter 06 Logistic Regression/004. Data Analysis and Feature Engineering.en.srt
33 kB
Chapter 06 Logistic Regression/004. Data Analysis and Feature Engineering.mp4
103 MB
Chapter 06 Logistic Regression/005. Build the Logistic Model.en.srt
18 kB
Chapter 06 Logistic Regression/005. Build the Logistic Model.mp4
81 MB
Chapter 06 Logistic Regression/006. Model Evaluation - AUC-ROC.en.srt
33 kB
Chapter 06 Logistic Regression/006. Model Evaluation - AUC-ROC.mp4
121 MB
Chapter 06 Logistic Regression/007. Model Optimization 1.en.srt
21 kB
Chapter 06 Logistic Regression/007. Model Optimization 1.mp4
67 MB
Chapter 06 Logistic Regression/008. Model Optimization 2.en.srt
19 kB
Chapter 06 Logistic Regression/008. Model Optimization 2.mp4
62 MB
Chapter 07 Naive Bayes Classification Algorithm/001. Naive Bayes Probability Model.en.srt
21 kB
Chapter 07 Naive Bayes Classification Algorithm/001. Naive Bayes Probability Model.mp4
61 MB
Chapter 07 Naive Bayes Classification Algorithm/002. Naive Bayes Probability Computation.en.srt
22 kB
Chapter 07 Naive Bayes Classification Algorithm/002. Naive Bayes Probability Computation.mp4
68 MB
Chapter 07 Naive Bayes Classification Algorithm/003. Employee Attrition Case Study.en.srt
24 kB
Chapter 07 Naive Bayes Classification Algorithm/003. Employee Attrition Case Study.mp4
72 MB
Chapter 07 Naive Bayes Classification Algorithm/004. Model Building and Optimization.en.srt
22 kB
Chapter 07 Naive Bayes Classification Algorithm/004. Model Building and Optimization.mp4
55 MB
Chapter 08 Decision Tree Classifier/001. Decision Tree - Model Concept.en.srt
22 kB
Chapter 08 Decision Tree Classifier/001. Decision Tree - Model Concept.mp4
52 MB
Chapter 08 Decision Tree Classifier/002. Decision Tree - Learning Steps.en.srt
28 kB
Chapter 08 Decision Tree Classifier/002. Decision Tree - Learning Steps.mp4
82 MB
Chapter 08 Decision Tree Classifier/003. Gini Index and Entropy Measures.en.srt
22 kB
Chapter 08 Decision Tree Classifier/003. Gini Index and Entropy Measures.mp4
61 MB
Chapter 08 Decision Tree Classifier/004. Pruning and Hyperparameter Tuning.en.srt
15 kB
Chapter 08 Decision Tree Classifier/004. Pruning and Hyperparameter Tuning.mp4
48 MB
Chapter 08 Decision Tree Classifier/005. Iris Dataset Case Study.en.srt
25 kB
Chapter 08 Decision Tree Classifier/005. Iris Dataset Case Study.mp4
70 MB
Chapter 08 Decision Tree Classifier/006. Model Optimization using Grid Search Cross Validation.en.srt
22 kB
Chapter 08 Decision Tree Classifier/006. Model Optimization using Grid Search Cross Validation.mp4
86 MB
Chapter 09 Random Forest Ensemble/001. Ensemble Techniques Bagging and Random Forest.en.srt
25 kB
Chapter 09 Random Forest Ensemble/001. Ensemble Techniques Bagging and Random Forest.mp4
60 MB
Chapter 09 Random Forest Ensemble/002. Random Forest Steps Pruning and Optimization.en.srt
30 kB
Chapter 09 Random Forest Ensemble/002. Random Forest Steps Pruning and Optimization.mp4
78 MB
Chapter 09 Random Forest Ensemble/003. Model Building and Hyperparameter Tuning using Grid Search CV.en.srt
26 kB
Chapter 09 Random Forest Ensemble/003. Model Building and Hyperparameter Tuning using Grid Search CV.mp4
88 MB
Chapter 09 Random Forest Ensemble/004. Optimization Continued.en.srt
13 kB
Chapter 09 Random Forest Ensemble/004. Optimization Continued.mp4
53 MB
Chapter 10 Support Vector Machine/001. Support Vector Machine Concepts.en.srt
27 kB
Chapter 10 Support Vector Machine/001. Support Vector Machine Concepts.mp4
70 MB
Chapter 10 Support Vector Machine/002. Support Vector Machine Metrics and Polynomial SVM.en.srt
19 kB
Chapter 10 Support Vector Machine/002. Support Vector Machine Metrics and Polynomial SVM.mp4
63 MB
Chapter 10 Support Vector Machine/003. Support Vector Machine Project 1.en.srt
19 kB
Chapter 10 Support Vector Machine/003. Support Vector Machine Project 1.mp4
48 MB
Chapter 10 Support Vector Machine/004. Support Vector Machine Predictions.en.srt
5.8 kB
Chapter 10 Support Vector Machine/004. Support Vector Machine Predictions.mp4
22 MB
Chapter 10 Support Vector Machine/005. Support Vector Machine - Classifying Polynomial Data.en.srt
13 kB
Chapter 10 Support Vector Machine/005. Support Vector Machine - Classifying Polynomial Data.mp4
43 MB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/001. Principal Component Analysis - Concepts.en.srt
26 kB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/001. Principal Component Analysis - Concepts.mp4
86 MB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/002. Principal Component Analysis - Computations 1.en.srt
29 kB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/002. Principal Component Analysis - Computations 1.mp4
65 MB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/003. Principal Component Analysis - Computations 2.en.srt
18 kB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/003. Principal Component Analysis - Computations 2.mp4
47 MB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/004. Principal Component Analysis Practicals.en.srt
20 kB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/004. Principal Component Analysis Practicals.mp4
58 MB
Chapter 12 Unsupervised Learning using K-Means Clustering/001. Unsupervised Learning - K-Mean Clustering.en.srt
22 kB
Chapter 12 Unsupervised Learning using K-Means Clustering/001. Unsupervised Learning - K-Mean Clustering.mp4
65 MB
Chapter 12 Unsupervised Learning using K-Means Clustering/002. K-Means Clustering Computation.en.srt
41 kB
Chapter 12 Unsupervised Learning using K-Means Clustering/002. K-Means Clustering Computation.mp4
115 MB
Chapter 12 Unsupervised Learning using K-Means Clustering/003. K-Means Clustering Optimization.en.srt
12 kB
Chapter 12 Unsupervised Learning using K-Means Clustering/003. K-Means Clustering Optimization.mp4
31 MB
Chapter 12 Unsupervised Learning using K-Means Clustering/004. K-Means - Data Preparation and Modelling.en.srt
23 kB
Chapter 12 Unsupervised Learning using K-Means Clustering/004. K-Means - Data Preparation and Modelling.mp4
66 MB
Chapter 12 Unsupervised Learning using K-Means Clustering/005. K-Means - Model Optimization.en.srt
19 kB
Chapter 12 Unsupervised Learning using K-Means Clustering/005. K-Means - Model Optimization.mp4
53 MB
Chapter 13 Introduction to Deep Learning/001. Introduction to Deep Learning.en.srt
104 kB
Chapter 01 Introduction to Machine Learning/001. Course Introduction.en.srt
22 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/README.md
52 B
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Car_sales.csv
12 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Car_sales.xls
70 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/CarPrice_Assignment.csv
26 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Car-price-prediction-linear-regression-Intro-version.ipynb
232 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/churn_data.csv
473 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/credit-card-default.csv
2.7 MB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/customer_data.csv
177 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/customer-segmentation-k-means-analysis.ipynb
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z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Decision_Tree_IRIS.ipynb
456 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/EDA-Overview-Lending-Club.ipynb
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z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Employee-Attrition-using-Naive-Bayes.ipynb
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z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Fashion_MNIST_Image_Classification_using_Deep_Learning_tf_Keras.ipynb
12 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/gapminderData.csv
80 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Handwritten-Digit-MNIST-SVM.ipynb
110 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/HR-Employee-Attrition.csv
221 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/internet_data.csv
449 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/iris_csv.csv
4.5 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Lending-Club-EDA-Project.ipynb
797 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/loan.csv
31 MB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Machine-Learning-Foundations.ipynb
809 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Mall_Customers.csv
3.7 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/newhousing.csv
32 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/PCA-Housing.ipynb
69 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Python-Intro-Numpy-Pandas.ipynb
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z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/Random-Forest-Credit-Default-Prediction.ipynb
204 kB
z.Mastering-Machine-Learning-Algorithms-using-Python-main/Code-and-Data-Files/telecom-churn-prediction-logistic-regression.ipynb
782 kB