Pinned Repositories
Hand-recognition-devnagri-characters-
Hand written gesture recognition of devnagri hindi characters (video of the model is attached in this repository)
Sentiment-Analysis-using-Afinn-Dictionary
Sentiment Analysis of tweets which are extracted using twitter API and applying various filters according to the use . The sentiment analysis is done using the Afinn dictionary which is a dictionary consisting of words with their corresponding rating. A rating between +5 and -5 . A positive rating is indicated a positive statement and a negative rating indicated a negative one and a rating of 0 indicates a neutral statement.
FAANG
Competitive programming questions.
Hand-Emojinator
Hand Emoji classifier using Open CV (Video of the model is included in this repository)
Image-recognition-using-FaceNet
An Image Recognition model with very less data, in which case FaceNet Keras is preferred as a model for transfer learning.
K-means-clustering-for-Image-Compression
Performed Image compression using K-means clustering for different values of K (2, 5, 10, 15, 20).
Malaria-Cell-Detection
Detection of cells that potentially can be infected by malaria
Mixtures-of-Tree-Bayesian-networks
Mixtures-of-Tree-Bayesian-networks-using-Expectaion-Maximization-and-Random-Forests-Approach
learned the structure and parameters of the model using the EM-algorithm (in the M-step each mixture component is learned using the Chow-Liu algorithm). EM algorithm was run until convergence or until 50 iterations whichever is earlier. Also performed the following- Learned the structure and parameters of the model using the Random-Forests style approach.
Movie-Recommendation-System
Developed a User based recommendation system for suggesting movies (Netflix Data) from scratch using Pearson coefficient and achieved RMSE of 0.917 and MAE of 0.72
abrarrmohd's Repositories
abrarrmohd/Tutoring-Website
Basic Tutoring website for students to schedule tutors and have favorite tutors too.
abrarrmohd/Mixtures-of-Tree-Bayesian-networks-using-Expectaion-Maximization-and-Random-Forests-Approach
learned the structure and parameters of the model using the EM-algorithm (in the M-step each mixture component is learned using the Chow-Liu algorithm). EM algorithm was run until convergence or until 50 iterations whichever is earlier. Also performed the following- Learned the structure and parameters of the model using the Random-Forests style approach.
abrarrmohd/Mixtures-of-Tree-Bayesian-networks
abrarrmohd/K-means-clustering-for-Image-Compression
Performed Image compression using K-means clustering for different values of K (2, 5, 10, 15, 20).
abrarrmohd/Movie-Recommendation-System
Developed a User based recommendation system for suggesting movies (Netflix Data) from scratch using Pearson coefficient and achieved RMSE of 0.917 and MAE of 0.72
abrarrmohd/Naive-Bayes-and-Logistic-Regression-for-Text-Classification
Performed Classification of emails into Ham/Spam on four different datasets using Logistic Regression (MCAP regularization), Discrete and Multinomial Naïve Bayes from scratch. Logistic Regression yielded the best result with 0.95 accuracy with 𝜆 = 0.45 and learning rate =0.05
abrarrmohd/Naive-Bayes-for-Text-Classification
Performed Classification of emails into Ham/Spam on four different datasets using Discrete and Multinomial Naïve Bayes from scratch.
abrarrmohd/FAANG
Competitive programming questions.
abrarrmohd/Nine-Men-Morris-Game-using-Python
This Game has been developed using the MiniMax and Alpha Beta Pruning Algorithms. The game works in two phases- opening phase and Mid-Endgame phase. Separate programs have been implemented for paying as a Black position.
abrarrmohd/Image-recognition-using-FaceNet
An Image Recognition model with very less data, in which case FaceNet Keras is preferred as a model for transfer learning.
abrarrmohd/Text-Generation-using-LSTM
Text generation based on few lines of a story or verses. The accuracy has been deliberately kept low ( though it can be increased with more number of Epochs and other tweaks in the code), But we don't want the machine to learn and remember the whole story but instead to get a sense of it and predict the texts.
abrarrmohd/Hand-recognition-devnagri-characters-
Hand written gesture recognition of devnagri hindi characters (video of the model is attached in this repository)
abrarrmohd/Hand-Emojinator
Hand Emoji classifier using Open CV (Video of the model is included in this repository)
abrarrmohd/Malaria-Cell-Detection
Detection of cells that potentially can be infected by malaria
abrarrmohd/Sentiment-Analysis-using-Afinn-Dictionary
Sentiment Analysis of tweets which are extracted using twitter API and applying various filters according to the use . The sentiment analysis is done using the Afinn dictionary which is a dictionary consisting of words with their corresponding rating. A rating between +5 and -5 . A positive rating is indicated a positive statement and a negative rating indicated a negative one and a rating of 0 indicates a neutral statement.
abrarrmohd/Sentiment-Analysis-based-on-tweets
Analyzes how Airline travelers expressed their experiences on Twitter. Based on it, it predicts the feelings on three parameters (Negative,Neutral,positive).