ML-Projects

Hi 👋, I am Parag Bute

🔭 I’m currently working on Machine Learning

🌱 I’m currently learning Deep Learning and Computer Vision

👯 I’m looking to collaborate on Data Science Projects

💬 Ask me about Python , Machine Learning , Data Visualization tools

📫 How to reach me buteparag1986@gmail.com

Connect with me: | www.linkedin.com/in/paragbute

Languages and Tools:

Google Colab,Anaconda Navigator

Numpy,Pandas,Scikit,Matplotlib,sklearn

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
1.Linear Regression.pdf		1.Linear Regression.pdf
2.KNN.pdf		2.KNN.pdf
Data_Preprocessing.ipynb		Data_Preprocessing.ipynb
Data_scaling_with_Min_Max_Scaler.ipynb		Data_scaling_with_Min_Max_Scaler.ipynb
Data_scaling_with_Std_Scaler.ipynb		Data_scaling_with_Std_Scaler.ipynb
Handling_Categorical_Data_with_Ordinal_Encoder.ipynb		Handling_Categorical_Data_with_Ordinal_Encoder.ipynb
KNN on cars dataset.ipynb		KNN on cars dataset.ipynb
KNN_Classifier_on_Social_network_ads_dataset.ipynb		KNN_Classifier_on_Social_network_ads_dataset.ipynb
KNN_Regression_on_startups_dataset.ipynb		KNN_Regression_on_startups_dataset.ipynb
Lasso (L1) & Ridge(L2) Regularization on cars dataset.ipynb		Lasso (L1) & Ridge(L2) Regularization on cars dataset.ipynb
Linear_Regression_on_cars_dataset.ipynb		Linear_Regression_on_cars_dataset.ipynb
ML Algo Diffrences.pdf		ML Algo Diffrences.pdf
Missing_Value_Handling_with_simple_Imputer.ipynb		Missing_Value_Handling_with_simple_Imputer.ipynb
Multiple Linear Regression on Real_estates dataset.ipynb		Multiple Linear Regression on Real_estates dataset.ipynb
Outlier_Removal.ipynb		Outlier_Removal.ipynb
Pandas_Operations.ipynb		Pandas_Operations.ipynb
Polynomial Regression Advertising Dataset.ipynb		Polynomial Regression Advertising Dataset.ipynb
README.md		README.md
Reading_files in pandas.ipynb		Reading_files in pandas.ipynb
Simple Linear Regression on scores dataset.ipynb		Simple Linear Regression on scores dataset.ipynb
Skewness_Removal_using_Scipy.ipynb		Skewness_Removal_using_Scipy.ipynb

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