Learning to create Machine Learning Algorithms
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Updated
Jun 15, 2021 - Python
Learning to create Machine Learning Algorithms
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
Machine Learning Development Projects
Machine-Learning-Regression
Machine Learning in R
Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Mo…
All my Machine Learning Projects from A to Z in (Python & R)
Salary prediction using simple linear regression
Predicting wine quality using regression on the well-known UCI data set and more
Simple linear regression, multiple linear regression, nonlinear regression projects.
It is an End to End Data Science project using Linear Regression Machine Learning model.
Wind Turbine Power Production
Advanced Regression with the linear regression
Implements Linear Models for Regression(Linear, Ridge, Lasso Regressions) and Classification(Logistic Regression) from scratch in Python
Death age calculator model based on the number of cigarettes consumed in a day
This Repository contains the Applications of Linear Regression.
Used various Machine Learning Algorithms to performed a predictive task of classification to predict whether an individual makes over 50K a year or less on the 'US Census Income' dataset.
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