Shwet Prakash's repositories
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
Flower-species-Recognition-using-Computer-vision-and-Machine-Learning
Used Convolutional Deep Neural nets to extract features from the image
Amazon-Fine-Food-Reviews
Sentiment Analysis on Amazon Fine Food Reviews Data in Python
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
Mushroom-Classification
Data science project on mushroom classification data
Text-classification-sarcastic-or-not
Text mining and Data Science applications on the twitter-data
Text-Mining-Heathcare
A project about the brief application of tm & qdap libraries to clean the text data by forming corpus followed by applying dtm and further sparsity and designed a stacked model of random forest, gradient boost, xgboost & deeplearning by using h2o library for Machine Learning
Toxic-Comment-Classification
A NLP project about a brief application of tfidf vectorizer for text feature extraction and pipeline and feature union to chain multiple steps into one
Chatbot_csv_gpt3
GPT-3 based chatbot on the tabular data developed using langchain, openai, streamlit and FAISS as a vector database
Recommendation-algorithms-in-Python-
A project about implementation of content based, memory & model based collaborative and deep learning models for building Recommendation engine
APMC-Mandi-Machine-Learning
A time series forecasting project about the brief application of lstm(deep learning), prophet, arima, holt, exponential smoothing algorithms
Black-Friday
Predictive Analysis on Black Friday Data in Python
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
Felicity-Kings-of-machine-learning--Analytics-vidhya
Data science project on Dota game stats data
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.
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
Machine-Learning-modules
Implementation of different python modules for data preprocessing, classification, regression, NLP and recommendation engine algorithms
Porto-seguro-data
A brief application of xgboost (with tuning the parameters with caret) algorithm and ROSE library to balance the target variable
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
Student-grade-prediction-and-alcohol-consumption-
A project which aims at finding the factors and most important features which lead to students indulging in drinking and consuming alcohol.After the exploratory data analysis a decision tree is trained and inference rules are generated to predict which student is most likely to consume alcohol and its grade