The Spark Foundation Internship
Created by Raghav Anil Pillai
Overview of Completed Task-
.Task 1 Prediction using Supervised Machine Learning -
Data can be found-http://bit.ly/w-data
.Task 2 Prediction using Un-supervised Machine Learning
Data can be found-https://drive.google.com/file/d/11Iq7YvbWZbt8VXjfm06brx66b10YiwK-/view
.Task 3 Exploratory Data Analysis-Retail
Data can be found-https://drive.google.com/file/d/1lV7is1B566UQPYzzY8R2ZmOritTW299S/view
Completed Task 1 -Prediction using Supervised Machine learning
I here by present you all the Outputs recieved in the following order:
1.Import all the needed libaries to run the program
2.Summarises Statistics Measures
3.Distribution of Hours Studied and Scroes
4.Linear Regression Analysis - Hours vs. Score
5.Residual Analysis - Linear Regression
6.Predicting Scores using Linear Regression and Evaluating Linear Regression Model to find Mean Absolute Error
Completed Task 2 -Prediction using Un-Supervised Machine learning
I here by present you all the Outputs recieved in the following order:
1.Import the needed libraries in the virtual environment,View the Csv file data,analyze the data:
2.Data visualization using Pair Plot with Regression Lines,Violin plots,Correlation Heatmap
3Finding value of K using Elbow method,Hierarchial clustering dendogram,Silhouette analysis
4 Building a cluster model
Completed Task 3 - Exploratory Data Analysis-Retail
I here by present you all the Outputs recieved in the following order:
1.Importing the data,initalization of data
2. Highlighting Rows in Pandas DataFrame with Conditional Styling, Styling of a Pandas DataFrame Using style.applymap, Styling a Pandas DataFrame with Styling Function