NathanP23/Regression-and-Statistical-Models-52571

Content of the course "Regression and Statistical Models (52571)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.

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greentheguy/Regression-and-Statistical-Models-52571

# Regression-and-Statistical-Models-52571This repository contains course materials for "Introduction to Deep Learning (67822)" at The Hebrew University of Jerusalem. Taught by Dr. Assaf Weinstein and supported by tutorials from Niv Brosh, it covers key concepts in regression and statistical models. 🐙📊

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JamesCWeber/BCG-X-Data-Science-Project-Part-2-Feature-Engineering

The second task given to me while completing the BCG X Data Science microinternship. Conduct feature engineering by selecting, manipulating and transforming raw data into features that can be used in a supervised learning model

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ferdos-coder/detect-handling-null-value

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TheMrityunjayPathak/FeatureEngineering

Feature Engineering with Python

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ashishyadav24092000/MultipleLinearRegression_CategoricalVariables

This python code shows howw regression is handled in case of categorical variables using duumies. It calculates the multiple regression code and shows the regression table. It also performs the residual analysis.

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vishnukanduri/Credit-Risk-Modeling-in-Python

Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.

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prasadposture/Data-Preparation

There are lot of things that need to be done on the given dataset before we feed it to the machine, these things come under data preprocessing. In this repository I have tried to explain those things with some examples.

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pramodiperera/ML

Sample programs with basic machine learning concepts

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shreyas-singhal/Lead-Scoring-Case-Study

X Education Organization wants to identify if a customer registered on their website for enquiry is a potential customer or not. Using past data to build a machine learning algorithm

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AWrzos/Study_Regression

different types of regression

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kshitij-raj/Bike-Share-Prediction

Predictive model that tells important factors(or features) affecting the demand for shared bikes

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twdooley/bgg_project

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chinmayeeguru/Lead-Scoring-Logistic-Regression-Model

To predict which customer is most likely to convert

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jesussantana/SkLearn-Train-Test

Scientific programming through the SKLearn / Scikitlearn library

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ayushnanda21/Machine-learning-Preqs

Working Examples of all algorithms with datasets

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megamillions/Housing-Prices-Competition

Build a model with machine learning to predict housing prices in Ames, Iowa. Top 11% in the Kaggle Housing Prices Competition.

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