Faizy (@mohd-faizy)
github

mohd-faizy

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

Probabilistic-Deep-Learning-with-TensorFlow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
Jupyter Notebook
62
star
2

06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT

Finetuning BERT in PyTorch for sentiment analysis.
Jupyter Notebook
21
star
3

learn_python

This is a public repository of Jupyter notebooks with introductory tutorials on different aspects of Python programming. Please star us if you think it is useful:
Jupyter Notebook
12
star
4

CAREER-TRACK-Data-Scientist-with-Python

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
Jupyter Notebook
11
star
5

DataScience-Projects

Projects : DataScience, Artificial intelligence, Machine learning, Deep Learning
7
star
6

09P_Detecting_COVID_19_with_Chest_X-Ray_using_PyTorch

Detecting COVID-19 with Chest X-Ray using PyTorch from COVID-19 Radiography Dataset on Kaggle
Jupyter Notebook
5
star
7

02P_Project_Image_Classification_with_CNNs_using_Keras

Training a CNN in Keras with a TensorFlow backend to solve Image Classification problems
Jupyter Notebook
4
star
8

Machine-Learning-Algorithms

This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks
Jupyter Notebook
4
star
9

ML-DS-OneNote

Machine-Learning/Data-Science in one Notebook
Jupyter Notebook
3
star
10

Hyperparameter-Tuning-with-Microsoft-Network-Intelligence-Toolkit-NNI

Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.
Python
3
star
11

Machine-Learning-Scientist-with-Python

Machine Learning - - Supervised, Unsupervised, and deep learning. Processing data for features, training models, assess performance, and tune parameters for better performance. In the process, you'll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.
Jupyter Notebook
3
star
12

DataScience-With-Python

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like `pandas`, `NumPy`, `Matplotlib`, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
Jupyter Notebook
3
star
13

04P-Classify-Radio-Signals-from-Outer-Space-using-Keras

The data we are going to use consists of 2D spectrograms of deep space radio signals collected by the Allen Telescope Array at the SETI Institute. We will treat the spectrograms as images to train an image classification model to classify the signals into one of four classes.
Jupyter Notebook
3
star
14

M01_Mathematics_for-Machine_Learning_Linear_Algebra

Linear Algebra, Multivariate Calculus & PCA
Jupyter Notebook
2
star
15

LearnWebTech

WebTechnologies: HTML, CSS, JavaScript
HTML
2
star
16

Data_Visualization_Python

Jupyter Notebook
2
star
17

Learn_Seaborn

Seaborn is a visualization library for Python that builds on matplotlib and pandas. It provides beautiful default styles and color palettes for different types of plots, such as histograms, distributions, regression, and matrix plots.
Jupyter Notebook
2
star
18

M02_Mathematics_for-Machine_Learning_Multivariable_Calculus

Jupyter Notebook
2
star
19

07P_Tumor-Diagnosis-Exploratory-Data-Analysis-on-Breast-Cancer-Wisconsin-DataSet

Tumor Diagnosis: Exploratory Data Analysis With Seaborn
Jupyter Notebook
2
star
20

Learn_Pandas

pandas is a powerful Python library for data analysis and manipulation. It’s like a Swiss Army knife for handling structured data!
Jupyter Notebook
2
star
21

mohd-faizy.github.io

HTML
2
star
22

Data_Analysis_With_Python

Jupyter Notebook
2
star
23

feature-engineering-hacks

This repository contains a collection of hacks and tips for feature engineering. It is a great resource for anyone who wants to learn how to improve the performance of their machine learning models.
Jupyter Notebook
2
star
24

Python-for-DataScience

Jupyter Notebook
2
star
25

01P_Project_Deep_Learning_for_Traffic_Sign_Classification

Traffic Sign Classification Using Deep Learning in Python/Keras
Jupyter Notebook
2
star
26

Machine_Learning_with_Python

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This repository Contain tools needed to get started with supervised and unsupervised learning.
Jupyter Notebook
2
star
27

My_TensorFlow

A comprehensive repository of jupyter notebooks in Tensorflow/keras
Jupyter Notebook
1
star
28

Deeplearning-One-Fourth-Labs

DeepLearning Repo.
Jupyter Notebook
1
star
29

Learn_Numpy

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
Jupyter Notebook
1
star
30

Learn_Matplotlib

Matplotlib is a powerful plotting library in Python that allows you to create static, animated, and interactive visualizations. It’s widely used for representing data graphically, making it easier to analyze and understand.
Jupyter Notebook
1
star
31

Licenses-certifications

Licenses & certifications
1
star
32

TF01_Introduction-to-TensorFlow-for-AI-ML-and-DL

TensorFlow for building basic neural network for computer vision and use convolutions to improve your neural network.
Jupyter Notebook
1
star
33

05P_Understanding_Deepfakes_with_Keras_Using_DCGAN

Understanding Deepfakes with Keras
Jupyter Notebook
1
star
34

03P_Facial_Expression_Recoginition

Facial Expression Recognition with Keras!
Jupyter Notebook
1
star
35

08P_COVID19_Data_Analysis_Using_Python

Data Analysis on COVID19 dataset, published by John Hopkins University
Jupyter Notebook
1
star
36

Developing-Large-Language-Models

Dive into LLM development! Learn cutting-edge techniques behind models like OpenAI's GPT-4, Meta's LLaMA 2, Mistral-7B, and Anthropic's Claude. Master PyTorch, build transformers, & fine-tune pre-trained LLMs from Hugging Face.
Jupyter Notebook
1
star
37

PyTorch-Essentials

Welcome to the Pytorch Essentials repository! This Repo aims to cover fundamental to advanced topics related to PyTorch, providing comprehensive resources for learning and mastering this powerful deep learning framework.
Jupyter Notebook
1
star
38

12P_Fake_News_Detection_with_Machine_Learning

In this project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.
Jupyter Notebook
1
star
39

mohd-faizy

1
star
40

Blogging-Website-Using-Flask

This is the a Blogging Website created Using Flask
JavaScript
1
star
41

NLP_Projects

Welcome to the Natural Language Processing Repository! This repository is a collection of code examples, algorithms, and resources for Natural Language Processing (NLP). NLP is a field that focuses on the interaction between computers and human language, enabling machines to understand, analyze, and generate text.
Jupyter Notebook
1
star
42

Natural_Language_Processing_in_Python

This repository contains the code and resources for the "Natural Language Processing in Python". This repository contains the core skills you need to convert unstructured data into valuable insights using NLP.
Jupyter Notebook
1
star
43

11P_Classification-with-Transfer-Learning-in-Keras

Classification with Transfer Learning in Keras
Jupyter Notebook
1
star
44

TF02_Convolutional-Neural-Networks-in-TensorFlow

Tensorflow with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropouts
1
star
45

TF04_Sequences-Time-Series-and-Prediction

Using Tensorflow to solve time series and forecasting problems. Implement best practices to prepare data for time series learning & using RNNs and ConvNets for predictions. Finally, applying Tensorflow to build a sunspot prediction model using real-world data!
1
star
46

TF03_Natural-Language-Processing-in-TensorFlow

Solving Natural Language Processing problems with TensorFlow. Represent text through tokenization so that it’s recognizable by a neural network. Using RNNs, GRUs, and LSTMs, for NLP tasks and train them to understand the meaning of the text. Finally, we use Tensorflow to train LSTMs on existing text to create original poetry and more!
1
star
47

Quantam-Machine-Learning

Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum physics and machine learning
1
star
48

Stats-with-Data

This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics through regression and time series analysis.
Jupyter Notebook
1
star
49

Deep-Learning

Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised
1
star