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50 lines
2.4 KiB
50 lines
2.4 KiB
- Introdokshon
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- [Introdokshon to Machine Learning](../1-Introduction/1-intro-to-ML/README.md)
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- [History of Machine Learning](../1-Introduction/2-history-of-ML/README.md)
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- [ML and Fairness](../1-Introduction/3-fairness/README.md)
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- [Techniques of ML](../1-Introduction/4-techniques-of-ML/README.md)
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- Regression
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- [Tools wey dem dey use](../2-Regression/1-Tools/README.md)
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- [Data](../2-Regression/2-Data/README.md)
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- [Linear Regression](../2-Regression/3-Linear/README.md)
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- [Logistic Regression](../2-Regression/4-Logistic/README.md)
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- Build Web App
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- [Web App](../3-Web-App/1-Web-App/README.md)
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- Classification
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- [Intro to Classification](../4-Classification/1-Introduction/README.md)
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- [Classifiers 1](../4-Classification/2-Classifiers-1/README.md)
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- [Classifiers 2](../4-Classification/3-Classifiers-2/README.md)
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- [Applied ML](../4-Classification/4-Applied/README.md)
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- Clustering
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- [Make your Data show well](../5-Clustering/1-Visualize/README.md)
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- [K-Means](../5-Clustering/2-K-Means/README.md)
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- NLP
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- [Introdokshon to NLP](../6-NLP/1-Introduction-to-NLP/README.md)
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- [NLP Tasks](../6-NLP/2-Tasks/README.md)
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- [Translation and Sentiment](../6-NLP/3-Translation-Sentiment/README.md)
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- [Hotel Reviews 1](../6-NLP/4-Hotel-Reviews-1/README.md)
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- [Hotel Reviews 2](../6-NLP/5-Hotel-Reviews-2/README.md)
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- Time Series Forecasting
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- [Introdokshon to Time Series Forecasting](../7-TimeSeries/1-Introduction/README.md)
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- [ARIMA](../7-TimeSeries/2-ARIMA/README.md)
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- [SVR](../7-TimeSeries/3-SVR/README.md)
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- Reinforcement Learning
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- [Q-Learning](../8-Reinforcement/1-QLearning/README.md)
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- [Gym](../8-Reinforcement/2-Gym/README.md)
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- Real World ML
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- [Applications](../9-Real-World/1-Applications/README.md)
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---
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**Disclaimer**:
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