sarvasvkulpati / LinearRegression

Related projects ⓘ

Alternatives and complementary repositories for LinearRegression

• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆28Updated 4 years ago
• sharmaroshan / Data-Visualizations
  Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…
  ☆63Updated 4 years ago
• akshaybhatia10 / Deep-Learning-Mini-Projects
  Repo for Deep Learning Projects in NLP, GANs, Computer Vision
  ☆19Updated 6 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms
  Mastering Machine Learning Algorithms, published by Packt
  ☆65Updated last year
• nitinkaushik01 / Deploy_Machine_Learning_Model_on_Flask_App
  It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flas…
  ☆27Updated last year
• mubaris / potential-enigma
  Linear Regression from scratch
  ☆42Updated 7 years ago
• Rohan0401 / House-Price-Prediction-Analysis
  This is Kaggle project for the house price prediction
  ☆104Updated last year
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 3 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆41Updated 6 years ago
• Architectshwet / Loan-prediction-using-Machine-Learning-and-Python
  To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …
  ☆39Updated 6 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆25Updated 3 years ago
• 2796gaurav / Naive-bayes-explained
  This is a very in depth explination of naive bayes w.r.t implementation in python which can be used in Machine Learning applications.
  ☆28Updated 3 years ago
• jmportilla / pycon-pandas-tutorial
  PyCon 2015 Pandas tutorial materials
  ☆10Updated 8 years ago
• Prakhar-FF13 / Customer-Analytics
  Machine Learning Case study on customer segmentation and prediction of groups.
  ☆31Updated 6 years ago
• jalajthanaki / Get_Jobs_in_Data_Science
  Introduction and Career Guide for Data Science enthusiasts
  ☆9Updated 6 years ago
• tirthajyoti / Algorithm-Data-Structures-Python
  Various useful data structures in Python
  ☆37Updated 5 years ago
• vyashemang / flask-salary-predictor
  This is project predicts the salary of the employ based on the experience.
  ☆93Updated 3 years ago
• PacktPublishing / TensorFlow-Deep-Learning-Projects
  TensorFlow Deep Learning Projects, published by Packt
  ☆45Updated last year
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 5 years ago
• amirkeren / applied-machine-learning-in-python
  Solutions to the 'Applied Machine Learning In Python' Coursera course exercises
  ☆50Updated 3 years ago
• ParthS007 / Loan-Approval-Prediction
  Loan Application Data Analysis
  ☆90Updated last year
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• avannaldas / Loan-Defaulter-Prediction-Machine-Learning
  Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
  ☆62Updated 2 years ago
• sapanz / Applied-Data-Science-with-Python---Coursera
  This project contains all the assignment's solution of university of Michigan.
  ☆22Updated 5 years ago
• Jason-M-Richards / Imputation-Techniques
  Fast, efficient code to pull non-null categorical data out, encode it and impute nulls with KNN Impute from fancyimpute library
  ☆17Updated 4 years ago
• agrawal-priyank / machine-learning-regression
  Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…
  ☆90Updated 11 months ago
• sukeshpabba / Python-For-DataScience-Machine-Learning-Bootcamp-Udemy
  Repository for the course on Udemy - Python for Data Science and Machine Learning Bootcamp , Jose Portilla
  ☆35Updated 6 years ago