Faizy's repositories
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.
06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT
Finetuning BERT in PyTorch for sentiment analysis.
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:
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.
DataScience-Projects
Projects : DataScience, Artificial intelligence, Machine learning, Deep Learning
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.
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.
ML-DS-OneNote
Machine-Learning/Data-Science in one Notebook
01P_Project_Deep_Learning_for_Traffic_Sign_Classification
Traffic Sign Classification Using Deep Learning in Python/Keras
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.
Learn_Pandas
pandas is a powerful Python library for data analysis and manipulation. It’s like a Swiss Army knife for handling structured data!
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.
LearnWebTech
WebTechnologies: HTML, CSS, JavaScript
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.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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.
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.
Learn_Numpy
NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
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.
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.
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.
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.
Preprocess_ML
This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.
DataStructures_Algorithms_Python
Comprehensive collection of Python implementations and explanations for essential data structures and algorithms
EarthquakePrediction
Deeplearning model to predict earthquake occurence based on realtime data
TensorFlow-Advanced
Functional API, Advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Generative deep learning, Style Transfer to Auto Encoding, VAEs, and GANs.