sirius0503
B.tech final Year student. Major in ECE ( who cares), Interested in python, pandas ,numpy, scipy, data science, ML, deep learning, etc. (stats too!)
Valuepitch E TechnologiesNavi Mumbai
Pinned Repositories
churn_prediction_problem
This is code for predicting customer churn in a retail non-contractual service.
ipl_match_predictions
It predicts the result of cricket match played between two teams : Team1 and Team2, .ie, who wins?
road_lane_identifcation
scraped_youtube_data_classification
Classification into 6 categories of description and title data from youtube videos, obtained from scraping youtube.
text_recognition_in_videos
Trends_In_APMC
Time Series Analysis of mandi price data for the state of Maharashtra and MSP prices
sirius0503's Repositories
sirius0503/text_recognition_in_videos
sirius0503/churn_prediction_problem
This is code for predicting customer churn in a retail non-contractual service.
sirius0503/ipl_match_predictions
It predicts the result of cricket match played between two teams : Team1 and Team2, .ie, who wins?
sirius0503/road_lane_identifcation
sirius0503/scraped_youtube_data_classification
Classification into 6 categories of description and title data from youtube videos, obtained from scraping youtube.
sirius0503/Trends_In_APMC
Time Series Analysis of mandi price data for the state of Maharashtra and MSP prices
sirius0503/albumentations
fast image augmentation library and easy to use wrapper around other libraries
sirius0503/automobile_UCI
The dataset is taken from the machine learning repository of UCI and consists of 205 instances and 26 attributes, consisting of categorical attributes such as make of car, engine-type, number of doors,etc , real and integer attributes such as price, horsepower, wheel-base, etc. My aim was to find the symboling of the car using machine learning algorithms. After, preprocessing the dataset for missing values, converting categorical attributes ,etc. I applied different algorithms like SVM with optimum parameters found via grid search, logistic regression, decision trees, random forest and xgboost, to find the various accuracies obtained from the different algorithms
sirius0503/CNN_dogs_vs_cats_classifier
Convolutional neural network to distinguish between cats and dogs images
sirius0503/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
sirius0503/facenet
Face recognition using Tensorflow
sirius0503/fer2013_challenge
Facial Emotion recognition between seven emotions : neutral, happy, sad, anger, disgust, surprised and contempt
sirius0503/FERPlus
This is the FER+ new label annotations for the Emotion FER dataset.
sirius0503/Font_Recognition-DeepFont
Its a implementation of DeepFont : Identify Your Font from An Image using Keras
sirius0503/lda_dimensionality_reduction
Performed dimensionality reduction using linear discriminant analysis a supervised learning algorithm on the wine.csv dataset
sirius0503/Lyrics-Conditioned-Neural-Melody-Generation
sirius0503/match_results
sirius0503/mmms
sirius0503/mnist_digit_recognition
Digit recognition problem of the mnist dataset
sirius0503/models
Models and examples built with TensorFlow
sirius0503/my_python_crash_course_codes
python crash course book by E.H Matthes codes
sirius0503/pca_dimensionality_reduction
Performed dimensionality reduction on the wine.csv dataset and visualized the results
sirius0503/practical_time_series_analysis_my_codes
Codes written by me while practicing the book : Practical time series analysis using python by Packt
sirius0503/Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
sirius0503/R-codes
sirius0503/rasa-advanced-workshop-actions
sirius0503/reflections
sirius0503/tensorflow-face-detection
A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
sirius0503/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
sirius0503/vim_magics
My vimrc file with updates on vim being used