coding-interview-university

A complete computer science study plan to become a software engineer.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

complex-retrieval-queries-in-mysql-workbench-22-oct-21

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

computer-vision---image-basics-with-opencv-and-python-project-28-08-2021

concepts-in-python-loops-functions-and-returns

By the end of this project, you will create a number of examples that will develop your learning around concepts in Python. This course will enable you to take your beginner knowledge of Python to the next level by incorporating loops, functions, and returns into your programming. Thus, you will be able to develop more complex code and be able to solve more difficult problems. This course will provide students with the knowledge behind different concepts in Python such as loops, methods, and returns which will enable you to write high-quality code. Thus, ensuring that your code is efficient and robust which is an essential aspect of writing high-quality code. This project will take students through a number of examples demonstrating the most useful Python concepts. You will gain an understanding of these concepts from the in-depth examples provided.

coursera

Quiz & Assignment of Coursera

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

credit-card-fraudlent

data-analysis-with-python

data-analyst-assignment-greedygame

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-blogs

A curated list of data science blogs

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

data-visualization-with-python-project

deep-learning-a-visual-approach

All of the figures and notebooks for my deep learning book, for free!

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep_learning_for_vision_systems

This repository accompanies the book "Deep Learning for Vision Systems".

demos

The queries behind the ads.

deploy-models-with-tensorflow-serving-and-flask-9-nov-21

diabetes-disease-detection-with-xg-boost-and-neural-networks

In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks. The objective of this project is to predict whether a patient has diabetes or not based on their given features and diagnostic measurements such as number of pregnancies, insulin levels, Body mass index, age and blood pressure.

diabetic-retinopathy-detection-with-artificial-intelligence-25-oct-21

ecommerce-project-using-python-django

emotion-ai-facial-key-points-detection

- Understand the theory and intuition behind Deep Learning, Convolutional Neural Networks (CNNs) and Residual Neural Networks. - Import Key libraries, dataset and visualize images. - Perform data augmentation to increase the size of the dataset and improve model generalization capability. - Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend. - Compile and fit Deep Learning model to training data. - Assess the performance of trained CNN and ensure its generalization using various KPIs. - Improve network performance using regularization techniques such as dropout.

employee-attrition-prediction-using-machine-learning

In this project-based course, we will build, train and test a machine learning model to predict employee attrition using features such as employee job satisfaction, distance from work, compensation and performance. We will explore two machine learning algorithms, namely: (1) logistic regression classifier model and (2) Extreme Gradient Boosted Trees (XG-Boost). This project could be effectively applied in any Human Resources department to predict which employees are more likely to quit based on their features.

english-to-french-translator-with-lstm---10th-nov-21

In this hands-on project, we will train a Long Short Term Memory Network (LSTM) to perform English to French translation. This project could be practically used as a communication tool to help travelers or people who are settling into a new country.

explainable-ai-scene-classification-and-gradcam-visualization-3-09-21

facecbook-clone

facial-expression-classification-using-residual-neural-nets-29-oct-21