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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) 606 Learner

validy img Validity Unlimited
level All Level
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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