Complete Machine Learning Course With Python

سرفصل های دوره

Learn to create Machine Learning Algorithms in Python using Different Datasets

1 - Introduction

1 - What Is Machine learning

1 - cars.csv

1 - what-is-machine-learning.docx

2 - Key Skills needed to learn Machine learning

3 - Supervised learning vs Unsupervised Learning

4 - Dependent Variable vs Independent Variable

5 - What Does This Course Cover

6 - Basic Python Concepts

6 - Complete-basic-Python-in-90-mins.docx

2 - Introduction to Machine Learning and Anaconda Installation

7 - 1.Introduction-to-Machine-Learning.docx

7 - Introduction to Machine Learning

8 - Anaconda-installation-machine-learning.docx

8 - Anconda Installation

3 - Exploratory Data Analysis

9 - 2.Exploratory-Data-Analysis.docx

9 - What is Exploratory Data AnalysisEDA

10 - knowing initial details of dataset

11 - Modifying or removing unwanted data

12 - Retrieving Data

13 - Statistical Information

14 - Drawing Graphs

15 - EDA Assignment

15 - titanic.csv

4 - Outliers

16 - 3.Outliers.docx

16 - What is Outliers

16 - solid-waste.csv

17 - Finding the Outliers

18 - IQR and handling the outliers

18 - Outliers-Assignment.docx

18 - solid-waste.csv

5 - Simple Linear Regression

19 - 4.Simple-Linear-Regression.docx

19 - What is Regression

20 - What is simple liner regression model

21 - What is rsquared Value

22 - Simple linear regression Program1

22 - homeprices.csv

23 - Simple linear regression Program2train and test data

23 - canada-percapita-Assignment.csv

23 - salary-data.csv

6 - Multiple Linear Regression

24 - 5.Mutiple-Linear-Regression.docx

24 - What is Multiple Linear Regression

25 - Housing.csv

25 - Multiple Linear Regression program 1

25 - homeprices-2.csv

7 - One Hot Encoding

26 - 6.One-Hot-Encoding.docx

26 - What Is One Hot Encoding

27 - One Hot EncodingFirst way

28 - One Hot EncodingSecond way

29 - One Hot EncodingProgram 1

29 - homeprices-3.csv

30 - One Hot EncodingProgram 2Third way

30 - carprices-Assignment.csv

30 - homeprices-3.csv

8 - Polynomial Linear Regression

31 - 7.Polynomial-Linear-Regression.docx

31 - What is Polynomial Linear Regression

32 - Polynomial Linear Regression Program1

32 - salary-experience-Assignment.csv

32 - salary-position.csv

9 - Ridge Regression

33 - 8.Ridge-Regression.docx

33 - What is Bias and Variance

34 - What is Regularization

35 - Ridge RegressionProgram 1

35 - test.csv

35 - train.csv

36 - Ridge RegressionAssignment

36 - boston-houses.csv

10 - Lasso Regression

37 - 9.Lasso-Regression.docx

37 - Advertising-Assignment.csv

37 - What is Lasso regression and practice program1

37 - boston-houses.csv

11 - ElasticNet Regression

38 - 10.ElasticNet-Regression

38 - boston-houses.csv

38 - diabetes-Assignment.csv

38 - what is ElasticNet Regression and practice program1

12 - Logistic Regression

39 - 11.Logistic-Regression.docx

39 - HR-comma.csv

39 - What is Logistic Regression and program1

39 - insurance-data-Assignment.csv

13 - Support Vector MachineSVM

40 - 12.Support-vector-machine-SVM.docx

40 - What is Support Vector Machine

14 - Naive Bayes Classification

41 - 13.Naive-Bayes-Classification.docx

41 - What is Naive Bayes Classification

42 - Naive Bayes Classification Program1

42 - cricket.csv

43 - Naive Bayes Classification Program2

43 - spam.csv

15 - KNN Classifier

44 - 14.KNN-Classifier.docx

44 - KNN Classifer defination and its practice program1

44 - breast-cancer.csv

44 - diabetes-Assignment.csv

16 - Decision Trees

45 - 15.Decision-Trees.docx

45 - Decision Trees Defination and its program1

45 - cricket.csv

45 - salaries-Assignment.csv

17 - Random Forest

46 - 16.Random-Forest.docx

46 - Random Forest Defination and its practice program1

46 - salary-experience-Assignment.csv

18 - KMeans Clusteringunsupervised model

47 - 17.K-Means-Clustering.docx

47 - What is KMeans Clustering

48 - 17.K-Means-Clustering.docx

48 - KMeans Clustering Program1

48 - income.csv

19 - Apriori Algorithm

49 - 18.Apriori-Algorithm.docx

49 - What is Apriori Algorithm

49 - market.csv

20 - Principle Component AnalysisPCA

50 - 19.Principal-Component-Analysis-PCA.docx

50 - what is Principle Component AnalysisPCA

51 - Principle Component Analysis Program1

52 - Principle Component Analysis Program2

53 - Principle Component AnalysisAssignment

21 - KFold Cross Validation

54 - 20.K-Fold-Cross-Validation.docx

54 - What is KFold Cross Validation

55 - KFold Cross Validation Program1

22 - Model Selection

56 - 21.Model-Selection.docx

56 - What is Model Selection

57 - Model Selection Program1

57 - processed.csv

23 - Assignment Solutions

58 - Assignment Solutions

58 - Decision-Trees-Assignment-solution.docx

58 - EDA-assignment-solution.docx

58 - ElasticNet-Regression-Assignment-solution.docx

58 - KNN-Classifier-Assignment-Solution.docx

58 - K-Fold-Cross-Validation-Assignment-solution.docx

58 - K-Means-Clustering-Assignment-Solution.docx

58 - Lasso-regression-Assignment-Solution.docx

58 - Logistic-regression-Assignment-solution.docx

58 - Multiple-linear-regression-Assignment-solution.docx

58 - Naive-Bayes-classification-Assignment-solution.docx

58 - OneHotEncoding-Assignment-solution.docx

58 - Outlier-Assignment-solution.docx

58 - Polynomial-Linear-Regression-Assignment-solution.docx

58 - Principle-component-analysis-Assignment-solution.docx

58 - Random-Forest-Assignment-solution.docx

58 - Ridge-regression-assignment-solution.docx

58 - Simple-Linear-Regression-Assignment-Solution.docx

58 - support-Vector-Machine-SVM-Assignment-solution.docx

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تولید کننده: Udemy