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1. Data-Science-Mini-Projects-using-Apache-Spark Data-Science-Mini-Projects-using-Apache-Spark Public

   SparkSQL, ETL, Machine Learning, Deep Learning, Time Series Analysis, Computer Vision, and Natural Language Processing exercises with Apache PySpark

   Jupyter Notebook 8 3

2. Time-Series-Forecasting-of-Walmart-Goods-Data Time-Series-Forecasting-of-Walmart-Goods-Data Public

   Estimating unit sales of 30490 Walmart retail items across ten stores in California, Texas and Wyoming. Used ARIMA, SARIMAX, Hot Linear, Exponential Smoothing, Unobserved Components Model, Prophet,…

   Jupyter Notebook 3 2

3. Home-Credit-Default-Risk Home-Credit-Default-Risk Public

   Machine Learning and Deep Learning models to predict potential home loan defaulters using Random Forest, K-Means, Convolutional Neural Networks, and XGBoost model for predicting defaulters obtainin…

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4. Housing-Recommendation-Database-and-Tableau-Visualizations Housing-Recommendation-Database-and-Tableau-Visualizations Public

   Designed a logical and physical database schema in Microsoft SQL Server and built a comprehensive Tableau dashboard to present the housing data statistics useful for incoming international students.

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5. Youtube-Trending-Video-Data-Analysis-in-Python Youtube-Trending-Video-Data-Analysis-in-Python Public

   Youtube data analysis using Machine Learning to predict the videos likely to trend with numpy, pandas, matplotlib, seaborn, plotly, NLTK and sklearn libraries in Python to increase the reach of adv…

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6. Machine-Learning-Mini-Projects-in-R Machine-Learning-Mini-Projects-in-R Public

   Machine Learning algorithms exercises consisting of Decision Trees, Bagging, Boosting, Random Forest, SVM, Lasso, Ridge, Linear & Logistic Regression, Naive Bayes, K-Nearest Nearest Neighbors and T…

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