rohitdiwadkar Goto Github PK

blackjack-game---reinforcement-learning

customer-support-application

d3

A JavaScript visualization library for HTML and SVG.

deep-learning---classification-of-subscription-of-product-provided-by-bank

exploratory-data-analysis-on-employees-review-dataset-and-

In this analysis, We are getting familiar to the tools including Python, numpy, matplotlib, pandas, and Jupyter notebook. I chose two dataset i.e one for classification and one for regression. The data sets are large enough more than 10,000 samples and more than 10 feature values. In this analysis, we are visualizing the data by prepossessing data, and then analyzing it to find some research questions and answering them by visualizing it through graphs and charts. while doing this , we learnt a lot of things and went through many resources. Below are some of the concepts that needs to be learned before jumping directly into Machine learning.

linear-regression---ls-and-lms

In this assignment , we have demomstrated how linear regression works for predicting dependent variable. Linear regression is used to predict target values by building linear model. In my assignment, I have implemented linear model by building model using least square and least mean square algorithm. But for both the models to predict the values we calculated weights first used in the dot product with independent variable. My both the models work fine and predicts almost the accurate values as we will be looking at it in the below sections. We also tried with some combination of significant variables to see how the models work and predict values.

machine-learning-project

newsroom-census-2016

responsivetimeline

Website showcasing responsive layout

rohitdiwadkar.github.io

rohitdiwadkar.mapboxtest

scrollma

text-mining-analysis-on-tweets-

We are doing Text Mining on data of tweets about Sprint. This data set contains all of the tweets posted by Twitter users about the telecommunications firm “Sprint”. Given the size of the actual data, we only work with the first 50k tweets that were posted about sprint.

text-mining-on-500-mnt-news

In this project we predicted some surprised ratings for three raters on basis of many variables by using text mining techniques.

tweet-capture-and-sentiment-analysis

In this project I have extracted tweets based on topics the user provides analyzed

twitter-text-capture-and-analysis

In this we extracted the tweets for any subject and analysed it.

web-scrapping-and-data-analysis-for-recuirement--data

In this project we have developed a desktop based application by using node.js,HTML for GUI and for scarpper we used python and for database Mysql workbench