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1. Statistical-Analysis Statistical-Analysis Public

   Statistics is the heart of Analytics, and doing that using python requires a number of libraries and functions which makes it easy to apply the statistical concepts on machine learning models.

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2. Introduction-to-Python-using-Jupyter Introduction-to-Python-using-Jupyter Public

   For a newbie in data science , it is necessary to take up a programming language to build your models on. So python gives very user friendly platform for the same

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3. Extrpolatory-Data-Analysis Extrpolatory-Data-Analysis Public

   EDA or Extrapolatory Data Analysis is the process of reading the data , importing data so we can analyse data , extract important information from it and clean it if necessary then perform the pred…

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4. Linear-Regression Linear-Regression Public

   Linear Regression is where it all starts - it is the basic statistical model approach which can be used fro building a basic predictive model for predicting a continuous target eg, sale price , sal…

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5. Classification-ML-models Classification-ML-models Public

   Classification problems are the ones where our target column is categorical in simple words we have to predict discrete value - whether the bank will give loan (yes/no) , will the given person is t…

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