Rushikesh Wagh (rushikeshw791)

rushikeshw791

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Rushikesh Wagh's repositories

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.

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Association-Rules

Prepare rules for the all the data sets my movies and books

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Clustering-1

Perform clustering for the airlines data

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Clustering-2

Clustering on Crime dataset

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Hypothesis-testing-1

Anova ftest statistics.

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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…

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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…

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Logistic-Regression-1

logistic regression on bank data

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Multi-linear-regression-2

Multiple linear regression on 50 startups dataset

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Multiple-linear-regression-1

Multiple linear regression on toyota corolla data

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Naive-Bayes-1

Perform naive bayes on salary data

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PCA-1

Performing PCA on Wine Dataset

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Recommendation-system

Business Problem - Recommend a best book based on the ratings

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Rushikesh-Wagh

Config files for my GitHub profile.

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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.

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Support-Vector-Machines

1) Prepare a classification model using SVM for salary data

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