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1. Exploratory_data-_analysis_python Exploratory_data-_analysis_python Public

   Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics

   Python

2. Feature_Engering Feature_Engering Public

   Feature engineering refers to the process of using domain knowledge to select and transform the most relevant variables from raw data when creating a predictive model using machine learning or stat…

   Jupyter Notebook

3. K--means_clustering K--means_clustering Public

   K- means clustering a simply a division of the set of data objects into non-overlapping subsets (clusters) such that each data object is in exactly one subset). A hierarchical clustering is a set o…

   Jupyter Notebook

4. Supervised_Classification_APP Supervised_Classification_APP Public

   Supervised Classification learning techniques are useful in designing mobile apps as they entail guided examples capturing specific human needs and their.

   Jupyter Notebook

5. Time_Series_Forecasting_R Time_Series_Forecasting_R Public

   Time series forecasting occurs when you make scientific predictions based on historical time stamped data. It involves building models through historical analysis and using them to make observation…

6. Web_Scrapping Web_Scrapping Public

   While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler.

   Jupyter Notebook