Machine Learning Tutorial Python | Machine Learning For Beginners - Study24x7
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Machine Learning Tutorial Python | Machine Learning For Beginners
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Machine Learning Tutorial Python | Machine Learning For Beginners
by Machine Learning

In this video series, we are going to learn about machine learning with Python 5.0  (192 Ratings) 607 Learner

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level English
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Program Fee
FREE
About This Course

In this video series, we are going to learn about machine learning with PythonShow more

Course Curriculum
1 Sections | 42 Lecture | 12h 11min total length
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Machine Learning Tutorial Python | Machine Learning For Beginners

Machine Learning Tutorial Python

| 12h 11min total length
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    Machine Learning Tutorial Python -1: What is Machine Learning?

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    Machine Learning Tutorial Python - 2: Linear Regression Single Variable

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    Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables

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    Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function

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    Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle

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    Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding

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    Machine Learning Tutorial Python - 7: Training and Testing Data

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    Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)

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    Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)

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    Machine Learning Tutorial Python - 9 Decision Tree

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    Machine Learning Tutorial Python - 10 Support Vector Machine (SVM)

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    Machine Learning Tutorial Python - 11 Random Forest

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    Machine Learning Tutorial Python 12 - K Fold Cross Validation

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    Machine Learning Tutorial Python - 13: K Means Clustering Algorithm

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    Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1

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    Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2

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    Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)

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    Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression

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    Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code

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    Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code

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    Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning

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    Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging

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    Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project)

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    Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project)

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    Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction)

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    Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project)

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    Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)

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    Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction)

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    Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project)

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    Deploy machine learning model to production AWS (Amazon EC2 instance)

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    Data Science & Machine Learning Project - Part 1 Introduction | Image Classification

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    Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification

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    Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification

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    Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification

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    Data Science & Machine Learning Project - Part 5 Training a Model | Image Classification

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    Data Science & Machine Learning Project - Part 6 Flask Server | Image Classification

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    Data Science & Machine Learning Project - Part 7 Build Website | Image Classification

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    Data Science & Machine Learning Project - Part 8 Deployment & Exercise | Image Classification

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    What is feature engineering | Feature Engineering Tutorial Python # 1

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    Outlier detection and removal using percentile | Feature engineering tutorial python # 2

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    Outlier detection and removal: z score, standard deviation | Feature engineering tutorial python # 3

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    Outlier detection and removal using IQR | Feature engineering tutorial python # 4

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Review & Ratings

5.0
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