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MachineLearningwithPython
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# Machine Learning with Python ## By Dr. Maryam Rahbaralam MY YOUTUBE TUTORIALS - Regression model with Python: https://youtu.be/e0eyE4m238o - Train/test split for regression and Cross-validation: https://youtu.be/Hpjgr3oholE - Regularized regression and overfitting: https://youtu.be/VmxP7QTVh00 - Classification and K-Nearest Neighbours: https://youtu.be/ZbVPmjDaCFg - Unsupervised Learning - Clustering: https://youtu.be/fqssd7g-mtY - Principal component analysis(PCA): https://youtu.be/yFtpz54RGuA 🔺 Make sure to subscribe to my YouTube channel and enable notifications so you will get notified next time I upload a video!🔺 # Content # First you need to install Jupyter Notebook [Installing Jupyter via Anaconda](https://t.me/machinelearningir/45) ## Session 1: ## 31 July 2020 - Introduction to machine learning - How to build a regression model with Python? Code availabe at this [link](Ml_S1_31July2020.ipynb) Slides availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_1%2031July2020.pdf) Video available at this [link](https://youtu.be/e0eyE4m238o) ## Session 2-1: ## 7 August 2020 - Train/test split for regression - Cross-validation Code availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S2-7AUG2020.pdf) Slides availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S2-7AUG2020.pdf) Video available at this [link](https://youtu.be/Hpjgr3oholE) ## Session 2-2: ## 7 August 2020 - Regularized regression - Overfitting - Ridge regression - Lasso regression Code availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S2-7AUG2020.ipynb) Slides availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S2-7AUG2020.pdf) Video available at this [link](https://youtu.be/VmxP7QTVh00) ## Session 3: ## 14 August 2020 - Classification - Feature scaling - Confusion matrix - K-Nearest Neighbours - KNN classifier in Pyhton Code availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S3-14AUG.ipynb) Slides availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S3_14AUG2020.pdf) Video available at this [link](https://youtu.be/ZbVPmjDaCFg) ## Session 4: ## 21 August 2020 - Unsupervised Learning-1 - Clustering - K-Means Clustering - Elbow Method - SpectralClustering estimator - MiniBatchKMeans - K-means for color compression¶ Code availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S4_21AUG2020.ipynb) Slides availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S4_21AUG2020.pdf) Video available at this [link](https://youtu.be/fqssd7g-mtY) ## Session 5: ## 28 August 2020 - Principal component analysis (PCA) - Dimensionality reduction - COVARIANCE MATRIX - Singular Value Decomposition (SVD) - PCA in Python Code availabe at this [1](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S5_28AUG2020_PCA-EX1.ipynb) and [2](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S5_28AUG2020_PCA-EX2.ipynb) Slides availabe at this [link](https://github.com/sonarahbar/MachineLearningwithPython/blob/master/Ml_S5_28AUG2020_PCA.pdf) Video available at this [link](https://youtu.be/yFtpz54RGuA)
