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This repo consists of notebooks I created to work upon the skills I learnt through several courses. All notebook has EDA, Model Building, Hyperparameter Tuning, Ensemble Models and Sampling Techniques.

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ritik872000/Data-Science-Portfolio

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Data-Science-Portfolio

  1. Black Friday Sales Prediction: This notebook includes Data Cleaning(Taking care of missing values, Scaling, encoding), Data visualizations(univariate and bivariate analysis) and model building.

  2. Crop Yield Classification: This notebook includes Data Cleaning(Taking care of missing values, Scaling, encoding), Data visualizations(univariate and bivariate analysis) and model building.

  3. HR Analytics: This notebook includes Data Cleaning(Taking care of missing values, Scaling, encoding), Data visualizations(univariate and bivariate analysis), model building, Hyperparameter Tuning(Grid Search).

  4. Loan Prediction:This notebook includes Data Cleaning(Taking care of missing values, Scaling, encoding), model building and result comparison.

  5. NLP Text Cleaning: This notebook has basic steps of text cleaning(removing @, #, urls, etc) , stemming and tokenization.

  6. Seaborn: This notebook has various seaborn plots (Countplot, Swarmplot, scatterplot, relplot, catplot, violinplot, catplot, HEX plot, KDE plot and Heatmap)

  7. Sentiment Analysis: This notebook has basic steps of text cleaning(removing @, #, urls, etc) , stemming, tokenization, Vectorizer, Oversampling and model building.

  8. Titanic Survival Prediction: This notebook includes Data Cleaning(Taking care of missing values, Scaling, encoding), Data visualizations(univariate and bivariate analysis) and model building.

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This repo consists of notebooks I created to work upon the skills I learnt through several courses. All notebook has EDA, Model Building, Hyperparameter Tuning, Ensemble Models and Sampling Techniques.

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