geekquad
Software Developer @FantasyAkhada | Ex-ML Engineer @omdena | Data @LoveONN | InOut 7.0 Winner | Project Admin & Mentor @ GSSOC'21, SWoC'21
Super Six Sports Gaming Pvt. Ltd.India
Pinned Repositories
Algo-ScriptML
Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.
AlgoBook
A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Color-Recognizer
An application that provides color names and HTML/RGB mappings as output.
Deep-Dream
A computer vision program which uses a convolutional neural network to find and enhance patterns in images, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images.
Fraud-Detection
A Person Of Interest identifier based on ENRON CORPUS data.
Pixel-Processing
📷 This repository is focused on having various feature implementation of OpenCV in Python. The aim is to have a minimal implementation of all OpenCV features together, under one roof.
quiz.ai
An Encrypted Automatic Multiple-Choice Question Generator for Self-Assessment Using Natural Language Processing
StandSum
A PyPI package that does extractive text summarizer using Cosine Methods in NLTK.
TEXTGEN
The main task of the character-level language model is to predict the next character given all previous characters in a sequence of data, i.e. generates text character by character.
StandNote
StandNote is a chrome extension that generates automated meeting minutes after every online meeting and helps save time for students and professionals.
geekquad's Repositories
geekquad/Fraud-Detection
A Person Of Interest identifier based on ENRON CORPUS data.
geekquad/Deep-Dream
A computer vision program which uses a convolutional neural network to find and enhance patterns in images, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images.
geekquad/Facial-Recognition-with-PCA
Face Recognition Implementation using PCA, eigenfaces, and SVM
geekquad/Feature-Scaling
A package that can transform features by scaling each feature into a given range. This is more lightweight and easy to use than sklearn.preprocessing.MinMaxScaler
geekquad/binogauss
A package that can calculate Gaussian as well as Binomial distributions.
geekquad/Handwritten-Digit-MLP-Classification
Using Multi Layer Perceptron to build the model. Classifies the handwritten digits of the MNIST database with around 98% accuracy.
geekquad/Lasso-Ridge-Regression-and-Elastic_Net-Regularization-from-Scratch
Basic implementation of Lasso, Ridge Regression and Elastic-Net Regularization.
geekquad/Titanic-Survival-Exploration
Very basic data exploration of the Titanic Dataset.
geekquad/AdaBoost-from-Scratch
A basic implementation of AdaBoost algorithm from Scratch.
geekquad/Boston-Housing
Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.
geekquad/CIFAR-10
Object Recognition in Images. This project uses CNN for the classification and recognition tasks.
geekquad/Classifying-Fashion-Clothes
Fashion-MNIST is a dataset of Zalando's article images, consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28, gray-scale image, associated with a label from 10 classes.
geekquad/Random-Forest-from-Scratch
A basic implementation of the Random Forest Classifier from Scratch and using Seaborn to find important features.
geekquad/Text-Learning
Basic usage of NLTK. Implementation of concepts like Stemmer, TfIdf, and text.CountVectors
geekquad/Time-Series-Prediction-from-Scratch
Training a simple RNN to do time-series prediction. Given some set of input data, it will be able to generate a prediction for the next time step.
geekquad/BMI-DATA
This program takes input as height and weight and calculates the BMI data of a person.
geekquad/Canny-Edge-Detection
A basic program that performs edge detection of images in real-time.
geekquad/Decision-Tree-from-Scratch
A basic project to implement and visualize Decision Tree Classifier from Scratch.
geekquad/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
geekquad/Donors-for-Charity
Employing several supervised algorithms to accurately model individuals' income.
geekquad/EDA-on-Haberman-Dataset
The dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago’s Billings Hospital on the survival of patients who had undergone surgery for cancer.
geekquad/Feature_Format
This module can take a list of feature names and the data dictionary, and return a numpy array.
geekquad/Handwritten-Digit-Prediction
Using the MNIST dataset which consists of greyscale handwritten digits. Each image is 28x28 pixels. Building and training a neural network that can take one of these images and predict the digit in the image.
geekquad/KNN-from-Scratch
A basic project to implement the KNN classifier from Scratch.
geekquad/ml-study-plan
The Ultimate FREE Machine Learning Study Plan
geekquad/Naive-Bayes-Classification-from-Scratch
A basic project to implement Gaussian Naive Bayes.
geekquad/SVM-Classification-from-Scratch
A basic project to build the classification model with SVM (Support Vector Machine)
geekquad/Text-to-Speech.
A basic snippet of code that uses Google's gTTS API to convert text to speech. Go on. Play Around with it.