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Name: Sarthak Niwate
Type: User
Bio: Data Enthusiast
Twitter: NiwatSarthak
Location: Bangalore
Name: Sarthak Niwate
Type: User
Bio: Data Enthusiast
Twitter: NiwatSarthak
Location: Bangalore
the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. There are 506 samples and 13 feature variables in this dataset. The objective is to predict the value of prices of the house using the given features.
Fashion MNIST dataset is famous dataset of 60000 raw images of fashion clothes. We have to categories and identify the type of clothes.
Add DS Programs in any language.
Creating a small subgroup of data set values from a huge data. The tables created in the file are players and clubs. You can try out more because the helping function is already created in the file.
Every problem from hackerrank Data Structures will be uploaded with solution and problem url.
Hackerrank being the top platform to test your coding skills and optimize the way of writing code as you practice more. I have shared the solutions of questions which I solved and the test cases were passed and solution is accepted.
Every problem from hackerrank SQL will be uploaded with solution and problem url.
Share your Java Programs here.
The essential algorithms of Supervised Learning and Unsupervised Learning will be explained in this repository. I have taken the guidance of YouTube Channel "Code Basics" for the data sets and references.
Add your codes related to mathematics.
I have clubbed the programming problems, concepts, small basic algorithms like the bubble sort, etc., complexity problems related to order(N).
Add any python programs here
The Bangalore House Price Dataset is taken from kaggle source. The data set is all about flat housing property and its features. The most tedious task in this dataset was data cleaning. It took lot of time and good logics to be resolved and get the optimized dataset. Else the another tasks of One Hot Encoding, Model Building are more of self-explanatory, if your basics are good and you know something about it before reading this project. In the end using GridSearchCV, I have tested the accuracy of model with comparing with one another model and then predicted the prices of properties/houses on the basis of some features. I hope you will enjoy it! Happy Learning!
These are tasks completed during Python Data Engineer Internship at Chistats Labs. Guided by Girish Bamane, Umaima Surti.
These are tasks completed during Python Data Engineer Internship at Chistats Labs. Guided by Girish Bamane, Umaima Surti.
These are tasks completed during Python Data Engineer Internship at Chistats Labs. Guided by Girish Bamane, Umaima Surti.
This simple small project is all about analyzing 72 readings of temperature and humidity. Using Linear Regression, the analysis of past readings and forecast is shown in the two different graphs of temperature and humidity. The project is simply coded and anyone who knows the basics can easily understand the logic and implementation. The most valuable features like reshape, fit_transform, polynomial feature with degree n, applying model, predicting and forecasting with the graphical representation in the end.
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An Open Source Machine Learning Framework for Everyone
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A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.