KrishArul26's repositories
Bank-full_data-Analysis-Uisng-Ensemble-Techniques-and-DNN
In this notebook, you will learn, Basic EDA (Expolary data Analysis), How to use matplotlib effectively, ensample techniques like XGBoosting and build the ANN
Santander-Customer-Transaction-Prediction-With-feature-selection-ANN-Application
we can more accurately identify new ways to solve our most common challenge, binary classification problems such as: is a customer satisfied? Will a customer buy this product? Can a customer pay this loan?
Insurance_Fraud_detection-Using-ML
SVM, XGboosting and Logistic regression have used for Insurance fraud detection. With feature engineering as well as feature selection and hyperparameter tuning
Pasword_Strength-Prediction-using-SVM-Logistics-Regression-and-XGBoosting
password strength using traditional algorithms such as logistic regression model, SVM, Multinomial regression model and XGBoosting.
Extract-Text-from-PDF-Files-in-Python-for-NLP
This notebook demonstrates the extraction of text from PDF files using python packages. Extracting text from PDFs is an easy but useful task as it is needed to do further analysis of the text.
Automated-libraries-for-Machine-Learning-
How can use some automated librires for developing a machine learning model? Then how can finalise the best model out of that.
Commandline-interface-with-a-local-computer-for-weather-dataset
Developed the command line interface with a local computer for weather data. This weather data has contained, more than 10 columns and mess up data so, This code helps to extract four columns out of that.
Automated-libraries-for-data-visualization-and-analysis-dataprep-autoviz-and-sweetviz
best-automated libraries for helping to do interactive visualizations in python with a single line of code.
Analysis-IMDB-Movie-Reviews-with-BERT-using-ktrain
Analysis IMDB-Movie-Reviews using BERT and ktrain. Also model deployment onto the local cpomputer.
Intent-Recognition-with-BERT-using-TensorFlow
Intent Recognition with BERT using TensorFlow and using ktrain library. Finally, compare the two method accuracy.
Fake-News-Classification-using-Bidirectional-LSTM-and-RNN
Apply the deep learning algorithm like LSTM & RNN for fake news classification.
Sonar-rock-vs-Metal-Classification-with-features-selection-and-Features-Engineering
The problem is to predict metal or rock objects from sonar return data
Mail-Classification-using-Bidirectional-LSTM-and-RNN-with-different-vector-methods
Spam classification with RNN, LSTM and Bidirectional LSTM
RF-hyperparameters-tuning-Credit-Card-Fraud-Detection-using-Tradition-ML
In this notebook, you will learn how to predict the Credit Card Fraud detection using data.
US-Election-Prediction-analysis-NLP
According to the reports of “The New York Times”, mostly everyone has dropped out till April 2020 who was running for Presidential election and the only left ones are Donald Trump and Joe Biden now. So, I have done a small analysis for trying to predict the winner of this election.
R-programming-Project
Her, I have attaced some of my work