animeshsinghrajput Goto Github PK

3_7_2017_data_team

ai_and_datascience

Machine Learning & Deep Learning and Data science

amazon-food-reviews-analysis-and-modelling

[Machine Learning | Data Analysis] Data Analysis on Amazon Fine Food Reviews dataset.

analyzing-customer-reviews.

Predicting the rating based on customer review.

automatic_ticket_classification_nlp

awesome-mlops

A curated list of references for MLOps

azure-ai-ml-workathon

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.

chat-bot

This is the code for a LSTM Chat bot

code_snippets

credit_eda_case_study

• 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.

customer-review-prediction

data-science

Data Science Concepts

data-science--cheat-sheet

Cheat Sheets

data-science-cheatsheet

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

fraud-analysis

Insurance fraud claims analysis project

frauddetection

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.

happiness-ml-challenge

happiness-prediction

Sentimental analysis using keras in python

healthcare-fraud-and-abuse-detection

healthcareai-py

Python tools for healthcare machine learning

hr-analytics

lead_scoring_case_study

• 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.

letsupgrade-assignments

These are ASSIGNMENTS and NOTES of LetsUpgrade - Free Coding Python from ZERO - HERO

light-bootstrap-dashboard

Light Bootstrap Dashboard is an admin dashboard template designed to be beautiful and simple.

machine_learning

Basic machine learning algorithm implementation

ml_car_evaluation

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

mlai

Boosting Machine Learning Algorithms and AI in Python

mobileprice_classification

news-classification

classifying news headlines (try it out!)