shlok1810 Goto Github PK
Name: Shlok Junghare
Type: User
Shlok Junghare's Projects
ad-selection-algorithm-using-machine-learning
Which Advertisement is the best fit for our business we can directly get through UCB Algorithm
bank_customer_prediction
we have a dataset of Bla-Bla bank where is record of last 6 months that how many of them left the bank and I had created a model who predicts that who will left the bank
brest_cancer_prediction
Breast Cancer Prediction with Logistic Regression Classification gives an accuracy of 96.70%. apart from this Decision Tree Classification gives more accuracy along with LRC. Dataset can be available on UCI Machine Learning.
car_damage_detection
Created a proof of concept to expedite the personal auto claims process with computer vision and deep learning. Identified damage location and severity to accuracies of 79% and 71% respectively.
cpp_leetcode
Solution of Leetcode Problem in CPP
electrical_energy_output_of_a_combined_cycle_power_plant
predict the electrical energy output of a Combined Cycle Power Plant using an Artificial Neural Network (Regression type). where we see how we reduce the loss through ann model.
fraud_credit_card_prediction
Dataset from Kaggle used to build the model for identifying fraud credit card prediction. This model is providing an accuracy of 92% using logistic regressor classification.
gtest-repo-student
Google Test Training
market_basket_optimization
A Kaggle dataset Market_Basket_Optimization, An Apriori Algorithm is used to recommend products for providing free or for suggestions.
movie_recommendation_system
A Complete Movie recommendation with Hollywood and Bollywood movies along with the sentiment analysis with AJAX-request.
nlp_with_bert_for_sentiment_analysis
This is Basic use of Bert with accuracy of 93%
restaurant_review_prediction
Restaurant Review prediction model using NLP. using the NLP model computer is able to understand the reviews and categories of positive and negative reviews with an accuracy of 73%.
scikit-learn
scikit-learn: machine learning in Python
spam_mail_classifier
Forwarded message or mail are fraud or not has been detected by our model using NLP.
tensorflow
An Open Source Machine Learning Framework for Everyone
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