Learn Machine Learning by Projects

lock Learn Machine Learning by Projects

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lock 00- Learn Machine Learning by Projects : Intro

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lock 101- Intro to Machine Learning : Regression

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lock 102- Car Price Project: Reading and Exploring Data for Machine Learning

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lock 103- Car Price Project: Some Cleaning for Machine Learning

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lock 104- Car Price Project: Some Data Analysis (EDA) for Machine Learning

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lock 105- Car Price Project: EDA & Preprocessing Hints for Machine Learning

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lock 106- Car Price Project: How to Split Data for Machine Learning (Train , Validation, Test)

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lock 107- Car Price Project: Handling Missing Values and Base Solution for Machine Learning

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lock 108- Car Price Project: Linear Regression Model

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lock 109- Car Price Project: Linear Regression Solution by Normal Equation

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lock 110- Car Price Project: Linear Regression Training and Evaluation by Root Mean Square Error

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lock 111- Car Price Project: Feature Engineering for Machine Learning

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lock 112- Car Price Project: One Hot Encoding for Categorical Data

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lock 113- Car Price Project: Regularization in Machine Learning

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lock 114- Car Price Project: Using the Linear Regression Model

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lock 115- Car Price Project: Project Summary

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lock 201- Churn Prediction: Data Understanding

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lock 202- Churn Prediction: Data Reading and Cleaning

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lock 203- Churn Prediction: Feature Importance 1

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lock 204- Churn Prediction: Feature Importance 2

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lock 205- Churn Prediction: Data Preprocessing

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lock 206- Churn Prediction: Data Preprocessing 2

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lock 207- Churn Prediction: Logistic Regression

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lock 208- Churn Prediction: Logistic Regression 2

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lock 209- Churn Prediction: Model Saving and Loading

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lock 210- Churn Prediction: Model Inference

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lock Classification Metrics (1)

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lock Classification Metrics (2)

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lock Day 0/30: What is Streamlit?

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lock Day 1/30: Installing & Hello Streamlit!

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lock Day 2/30: Running Your First App in Streamlit

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lock Day 3/30: Text Formats in Streamlit

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lock Day 4/30: Markdown in Streamlit

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