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
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
Learn_Seaborn
Seaborn
LearnWebTech
WebTechnologies: HTML, CSS, JavaScript
11P_Classification-with-Transfer-Learning-in-Keras
Classification with Transfer Learning in Keras
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.
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_Matplotlib
Data visualization
Learn_Numpy
Numpy
Licenses-certifications
Licenses & certifications
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.
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.
10P_Transfer-Learning-for-NLP-with-TensorFlow-Hub
we will use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, build and evaluate multiple models for text classification with TensorFlow, and visualize model performance metrics with Tensorboard.
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
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.
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.