animeshsinghrajput Goto Github PK
Name: Animesh Kumar Singh
Type: User
Company: Antworks
Bio: A Data Scientist with a passion for turning data into actionable insights, and meaningful stories.
Location: Bengaluru
Name: Animesh Kumar Singh
Type: User
Company: Antworks
Bio: A Data Scientist with a passion for turning data into actionable insights, and meaningful stories.
Location: Bengaluru
Machine Learning & Deep Learning and Data science
[Machine Learning | Data Analysis] Data Analysis on Amazon Fine Food Reviews dataset.
Predicting the rating based on customer review.
A curated list of references for MLOps
This series of workshops on various services is created to help you gain expertise on Azure cognitive and ML Services. You will be able to explore each functionality offered by the service through the GUI & REST APIs and observe the outcomes. We have also shared sample datasets related to each service to replicate what we have built in our workshops. Once you complete these labs, you’ll go from Zero to Hero on the respective service and should be able to Demo, Develop and Deploy your own custom use cases.
This is the code for a LSTM Chat bot
• This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. • This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicants using EDA is the aim of this case study.
Data Science Concepts
Cheat Sheets
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Insurance fraud claims analysis project
A small working demo of a possible fraud detection algorithm, that is designed to catch fraud by service providers such as healthcare providers. All data is fictional.
Sentimental analysis using keras in python
Python tools for healthcare machine learning
• Goal of case study to build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads. • A higher score would mean that the lead is hot, i.e. is most likely to convert whereas a lower score would mean that the lead is cold and will mostly not get converted. • Have been provided with a leads dataset from the past with around 9000 data points. This dataset consists of various attributes such as Lead Source, Total Time Spent on Website, Total Visits, Last Activity, etc. which may or may not be useful in ultimately deciding whether a lead will be converted or not. • The target variable, in this case, is the column ‘Converted’ which tells whether a past lead was converted or not wherein 1 means it was converted and 0 means it wasn’t converted.
These are ASSIGNMENTS and NOTES of LetsUpgrade - Free Coding Python from ZERO - HERO
Light Bootstrap Dashboard is an admin dashboard template designed to be beautiful and simple.
Basic machine learning algorithm implementation
Created a model to evaluate cars according to their characteristics. Dataset used in thie project is included as car.csv was obtained from UCI Machine Learning Repository
Boosting Machine Learning Algorithms and AI in Python
classifying news headlines (try it out!)
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.