Pinned Repositories
Association-Rules
Prepare rules for the all the data sets my movies and books
Clustering-1
Perform clustering for the airlines data
Clustering-2
Clustering on Crime dataset
Datasets
Decision-Trees
descriptive-stats-in-R
earthquakes
Forecasting
Gold-Price-prediction
Hypothesis-testing-1
Anova ftest statistics.
Hypothesis-testing-2
Chi2 contengency independence test. Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does vary and somewhat/si…
rushikeshw791's Repositories
rushikeshw791/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.
rushikeshw791/Association-Rules
Prepare rules for the all the data sets my movies and books
rushikeshw791/Clustering-1
Perform clustering for the airlines data
rushikeshw791/Clustering-2
Clustering on Crime dataset
rushikeshw791/Datasets
rushikeshw791/Decision-Trees
rushikeshw791/descriptive-stats-in-R
earthquakes
rushikeshw791/Forecasting
rushikeshw791/Gold-Price-prediction
rushikeshw791/Hypothesis-testing-1
Anova ftest statistics.
rushikeshw791/Hypothesis-testing-2
Chi2 contengency independence test. Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does vary and somewhat/si…
rushikeshw791/Hypothesis-testing-3
Chi2 contengency independence test. Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data a…
rushikeshw791/KNN-On-Glass-Data
rushikeshw791/KNN-on-Zoo-Data
rushikeshw791/Logistic-Regression-1
logistic regression on bank data
rushikeshw791/Multi-linear-regression-2
Multiple linear regression on 50 startups dataset
rushikeshw791/Multiple-linear-regression-1
Multiple linear regression on toyota corolla data
rushikeshw791/Naive-Bayes-1
Perform naive bayes on salary data
rushikeshw791/Neural-Networks
rushikeshw791/Patient-s-Condition-Classification-Using-Drug-Reviews
rushikeshw791/PCA-1
Performing PCA on Wine Dataset
rushikeshw791/Python-Assignments
rushikeshw791/Random-Forest
rushikeshw791/Recommendation-system
Business Problem - Recommend a best book based on the ratings
rushikeshw791/Rushikesh-Wagh
Config files for my GitHub profile.
rushikeshw791/rushikeshw791
rushikeshw791/Simple-linear-regression-1
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.
rushikeshw791/Support-Vector-Machines
1) Prepare a classification model using SVM for salary data
rushikeshw791/Text-Mining