shreya241986 Goto Github PK
Name: Shreya Mohadikar
Type: User
Location: Blue Springs, MO
Name: Shreya Mohadikar
Type: User
Location: Blue Springs, MO
Case Study: Applying Machine Learning to create the 'absenteeism-module '
Basic Python files
You were given data from an audio book app. It relates to the audio version of books. Each customer in the database has made a purchase at least once. We want to create a ML algorithm based on our data that can predict if a customer will buy again from the audio book company? The main idea is the company shouldn't spend its advertising budget targeting individuals who are unlikely to come back. If we focus our efforts on customers likely to convert again. We can improved sales and profitability efforts.
Mean, Median, Mode, Variance, Standard Deviation, Co-variance, Correlation Coefficient
Hypothesis testing
Normal Distribution, Standard normal distribution,Central Limit Theorem,Standard Error, Estimator and Estimates,Confidence Intervals, Z-score.z-statistics, t-statistics
Excercises with solutions
MNIST dataset consists of 70,000 images of handwritten digits. Since we have 10 digits, we have 10 classes from 0-9. Our subject is to build an algorithm that takes input as image and the correctly determines which number shown in that image.
All basic workings in NLP
Data Preprocessing : a group of operations that will convert the raw-data into a format that is easier to understand and hence, useful for further processing and analysis.
probabilty questions
Python Programs, packages used are Pandas, NumPy, Matplotlib, Seaborn for data Manipulation and visualization
Use of SystemRandom, numpy random
There is an increase in demand for getting data from the internet from various clients and these data can concern for different purposes. For instance you need property data from a Real Estate Website. We need to scrap data for different purposes and the process is called web scapping. Python is perfect for web scrapping, we can store them in a table such as Pandas DataFrame and then it can be exported to csv file.
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.