mukundaabha Goto Github PK
Name: Aabha Gupta
Type: User
Bio: Deputy Manager - Analytics, Data Science & Artificial Intelligence
Location: Bangalore, Karnataka India
Aabha Gupta's Projects
california-housing-price-prediction
California Housing Price Prediction using Machine learning
cat-and-dog-classification
Cat and Dog Classification using Deep Learning
credit-card-fraud-detection
In this project ,predicting whether a particular transaction is a Fraudulent transaction or Genuine transaction. We will be dealing with data imbalance with the help of upsampling and downsampling using resample and SMOTE. We will dive into the BFSI industry, i.e. Banking, Financial Services, and the Insurance Industry.
data-science-books-notes
Data Science, Machine-Learning, Deep-learning Books & important Notes
data_science_ml_dl_nlp_interview_qus
Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes
data_science_with_python
This repository contains data science & machine learning operations using python.
dl_with_tf_keras
This Repo contains Deep Learning with TensorFlow_0.2 and Keras
dotnet_c-_interviewquestion
DotNET , C# and windows interview questions
hackerearth-hackerrank
HackerEarth-HackerRank
ibm_employee_attrition_prediction
IBM HR Analytics Employee Attrition Modeling .
insurance_fraud_prediction
insurance_fraud_prediction
machine_learning_projects
This repository contains many machine learning topics and projects
movie_lens_case_study
MOVIE LENS PROJECT ANALYSIS
mukundaabha
Config files for my GitHub profile.
nlp-ads-classification-model
Predict whether a comment is an advertisement or not.
nyc_data_analysis
Analysis of NYC-311 Service Request Data
predicting_credit_card_default
Predicting Credit Card Default Using Various Classification Models and Ensemble Learning
predictive-modeling-on-concrete-dataset
Predictive Modeling On Concrete Dataset with EDA , Feature Engineering and With All Machine Learning Algorithms
python_for_data_science
This Repository contains python code for data science operations.
sales_prediction-on-retaildataset
Retail
sentiment_analysis_amazon_reviewdataset
Amazon is an online shopping website that now caters to millions of people everywhere. Over 34,000 consumer reviews for Amazon brand products like Kindle, Fire TV Stick and more are provided. The dataset has attributes like brand, categories, primary categories, reviews.title, reviews.text, and the sentiment. Sentiment is a categorical variable with three levels "Positive", "Negative“, and "Neutral". For a given unseen data, the sentiment needs to be predicted.
sql
SQL-Collection
statistics_ml_analasis
Deep Analysis on Statistics and Machine Learning with visualization
titanic_data_analysis
Complete data science and machine learning operation using titanic data
twitter_sentiment_analysis
Twitter Sentiment Analysis by using twitter API and with sample data using NLP and ML
walmart_store_data_analysis
The objective is predicting store sales using historical markdown data.
workbench
Statistics, Machine-learning, Deep-learning, Data-Science, Python
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