srijandeb Goto Github PK
Name: Srijan Deb
Type: User
Company: Ericsson India Global Services Ltd.
Location: Bangalore
Name: Srijan Deb
Type: User
Company: Ericsson India Global Services Ltd.
Location: Bangalore
Analyze A/B Test Results: I worked to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. My goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.
Breast Cancer Detection Using Machine Learning
This project is divided into two major parts. In the first part, you will conduct an exploratory data analysis on a dataset of your choosing. You will use Python data science and data visualization libraries to explore the dataset’s variables and understand the data’s structure, oddities, patterns and relationships. The analysis in this part should be structured, going from simple univariate relationships up through multivariate relationships, but it does not need to be clean or perfect. There is no one single answer that needs to come out of a given dataset. This part of the project is your opportunity to ask questions of the data and make your own discoveries. It’s important to keep in mind that sometimes exploration can lead to dead ends, and that it can take multiple steps to dig down to what you’re truly looking for. Be patient with your steps, document your work carefully, and be thorough in the perspective that you choose to take with your dataset.
Course Files for Complete Python 3 Bootcamp Course on Udemy
An example of using CNN for classification of dogs
Dataset from https://www.kaggle.com/russellyates88/suicide-rates-overview-1985-to-2016
Hands-on Exploratory Data Analysis with Python, published by Packt
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
This Machine Learning model helps in predicting the Heart diseases.
The Data taken from Kaggle Competition for prediction of House Price from the given datasets
Udacity DAND Project 1
A compiled list of kaggle competitions and their winning solutions for regression problems.
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
This repo contains my loan approval prediction project in Python.
Lending Club Loan data analysis
A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.
Practice your pandas skills!
Google Play Store Dataset Analysis
Repository to store sample python programs for python learning
A exploratory analysis of the restaurants in India
Prepare and Model Data in Power bi
Perform fast and efficient data analysis with the power of SQL
Jupyter Notebook visualizes a database contains suicide rates data across the world, written in Python.
Real world data rarely comes clean. Using Python and its libraries, you will gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it. This is called data wrangling. You will document your wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries) and/or SQL.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.