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allstate-claims-severity-data

Predictive Analysis on Allstate claims Severity data in Python

amazon-fine-food-reviews

Sentiment Analysis on Amazon Fine Food Reviews Data in Python

apmc-mandi-machine-learning

A time series forecasting project about the brief application of lstm(deep learning), prophet, arima, holt, exponential smoothing algorithms

bigmarketsales-

Predictive Analysis on Big Mart sales data in Python

black-friday

Predictive Analysis on Black Friday Data in Python

chatbot_csv_gpt3

GPT-3 based chatbot on the tabular data developed using langchain, openai, streamlit and FAISS as a vector database

classifying-duplicate-questions-from-quora-with-keras

Classifying-duplicate-questions-from-Quora-with-Keras

credit-fraud-detection-using-autoencoder-and-keras

Credit-Fraud-Detection-using-Autoencoder-and-keras

customer-churn-prediction

A project about building a stacked model with tuning the hyperparameters with grid search and hyperopt and used PySpark to test the performance of model in Spark Clusters in AWS EC2 and ROSE to balance the target variable

deep-learning-modules-in-keras

A project about the brief implementation of MLP, CNN, RNN, Unsupervised learning with Autoencoders, ETC, Text analytics using CNN in Python

deployed-multiple-transformers-models-using-amazon-sagemaker-multi-model-endpoints

dvc-ml

felicity-kings-of-machine-learning--analytics-vidhya

Data science project on Dota game stats data

final-year-project-ced15i027-

flower-species-recognition-using-computer-vision-and-machine-learning

Used Convolutional Deep Neural nets to extract features from the image

graph-problems

implementation-of-different-machine-learning-algorithms-from-scratch-in-python

Depth analysis on how to develop a machine learning algorithm from scratch in python. Algorithms covered are linear regression, logistic regression, decision trees, knn, k-means clustering.

judiciary-dataset-challenge

kaggle-bike-sharing-demand-challenge-

Predictive Analysis on Kaggle Bike Sharing Demand Challenge data in Python

kaggle-data-science-survey-data-analysis-using-shiny-web-app-in-r

A data analytics project for analyzing and studying the data collected by the Kaggle from its Data science survey conducted in 2017 to understand and explore various trends in Data science industry and how interested people are in this buzz word

loan-prediction-using-machine-learning-and-python

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

machine-learning-modules

Implementation of different python modules for data preprocessing, classification, regression, NLP and recommendation engine algorithms

ml

mushroom-classification

Data science project on mushroom classification data

pokemon-with-stats-data

Unsupervised Learning and Data Visualization project on Pokemon stats data

porto-seguro-data

A brief application of xgboost (with tuning the parameters with caret) algorithm and ROSE library to balance the target variable

predicting-survival-on-titanic-using-data-science

Predictive Analysis on survival on Titanic data in Python

recommendation-algorithms-in-python-

A project about implementation of content based, memory & model based collaborative and deep learning models for building Recommendation engine

recruit-restaurant-visitor-forecasting-

Time Series Analysis & Forecasting of Restaurant visitor. EDA, Forecasting with Prophet, arima and h2o auto ml for regression.

statistical-learning-using-r

Statistical Learning application of different machine learning algorithms on dataset and their implementation in R covering model selection techniques, shrinkage Methods and Regularization techniques, different non linear models, re-sampling methods and Cross Validation, boosting, trees, supervised learning & Unsupervised learning