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1. Market-Mix-Modeling Market-Mix-Modeling Public

   Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

   R 40 28

2. Data-Science Data-Science Public

   EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

   Jupyter Notebook 16 8

3. mlops mlops Public

   Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production

   Python 2 2

4. NLP NLP Public

   Text data analysis, Name-Entity Recognition and Topic Modeling for automating and building ML models

   Jupyter Notebook 4 4

5. ml-dl-techniques ml-dl-techniques Public

   Code snippet for different machine learning and deep learning techniques for model building, feature engineering, missing value imputation, EDA, and data reading/pulling/extraction/cleaning.

   Jupyter Notebook

6. learning-material learning-material Public

   Contains questions, ebooks, and courses related to Data Science, Machine Learning, R, Python, and Spark.

   Python 2 1