iamsuvhro/Tensorflow-Quick-Reference

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iamsuvhro/Tensorflow-Quick-Reference

iamsuvhro

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This is a basic Tensorflow guide for all Tensorflow developers

Augmented-Random-Search

In this Repo I build Augmented Random Search its a game changing AI. It is very simple implementation it is able to do the exactly the same thing that Google Deep mind did in there accomplishment last year. Paper

Chest-Pneumonia-Detection-using-Deep-Learning-Various-Architecture

In this repository,i will apply a bunch of various Neural Network Architectures from Scratch on the Chest pneumonia dataset and see how each of them behaves with respect to one another.

Jupyter Notebook

Breast-Cancer-prediction-using-Machine-Learning-Various-Algorithms

In this tutorial, i will apply a bunch of various Machine Learning Algorithms on the Breast Cancer Dataset and see how each of them behaves with respect to one another.

Jupyter Notebook

EDA-on-Haberman-Cancer-Survival-Dataset

Exploratory Data Analysis (EDA) is the series of asking questions and applying statistics and visualization techniques to answer those questions and to uncover the hidden insights from the data. A case study on the cancer survival data set is done to explore the most common EDA techniques in this repo

Jupyter Notebook

Heart-Diseases-Analysis

In this repository you will see the exploratory data analysis on heart diseases dataset. After EDA,fitting this dataset into ANN architecture

Jupyter Notebook

Fake-Image-Generator-using-DCGAN

Implementing a fake image generator from scratch using Pytorch for building a robust Deep Convolutional Generative Adversarial Network

Jupyter Notebook

Coding_for_Machine_learning

Here you will get basic to advanced level Machine Learning Coding guide & proper code in python

Real-time-smily-face-detection-OpenCv-

Realtime smily face detection using Open Cv

My-Portfolio-Website

This is my Portfolio Website

Cats-Dogs-Classification-Using-CNN

Cats & Dogs classifications using Convolutional Neural Network

iNotepy-Python-for-Quick-Reference

This is a iPython Notebook for learning basic python and it also be a quick referece for Machine Learning

Google-Stock-Prediction-using-LSTM

Jupyter Notebook

FaceDic

Face Dictionary is a collection of all celebrates picture. Dataset - https://www.kaggle.com/shubham2003/indian-actors-face-recognition#test_images.zip

Animals-Classifier-using-ConvoNet

In this notebook you will see the all process for building powerfull classifier. Here I'm using four multiple classes for making powerfull and complete Animal Classifier.

Jupyter Notebook

Social_Network_Ads-Classification

This is Social Network Advertisement Classification using SVM (Support Vector Machine) Algorithm

K-NN-Algorithm

This is a classification model of the users , based on the dataset .

IMDB-Reviews-Classification

Jupyter Notebook

Fashion-MNIST-Classification-using-Tensorflow

This is Label Classification on Fashion MNIST dataset using Tensorflow

Jupyter Notebook

Addmission-Prediction

This is model which can predict the student admission into the Higher Studies College. This model will check the GRE Score, CGPA, Research ,SOP, LOR, University after taking this data this model will pedict the best chances for Admission into the College

Restaurant-Reviews-Classification

NLP Gaussian-NB based Restaurant review classification

Credit-Card-Fraud-Detection-Using-SOM

Build Own Self Organizing Map From Scratch using a Unsupervised dataset for making a robust Credit Card Fraud Detection Model

Jupyter Notebook

Bank-Loss-Prediction-using-ANN

Data-analysis-of-Indian-population-

tibdsc.github.io

Go-Jumpstart

In this repository i am sharing some basic programming using GO programming language

Diabetes-Detector-using-ANN-Deep-learning

Diabtetes Detection using Artificial Neural Network

textUtils

A basic react application called Text Utils, here you can easily modify your context like uppercase,lowercase, styling etc.

Malaria-Detection-With-Deep-Learning-Various-Architecture

In this tutorial, we will apply a bunch of various Neural Network Architectures on the Malaria dataset and see how each of them behaves with respect to one another.

Jupyter Notebook