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Johns Hopkins University
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing d…
University of Helsinki
A full university Python course with automatic exercise checking.
Stanford University
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.
Johns Hopkins University
This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you…
Harvard University
Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning rate affect performance. Explore transfer and self-supervised learning (autoencoders). Build models f…
DeepLearning.AI
In this course, you will be introduced to the basics of artificial intelligence and machine learning and how they are applied in real-world scenarios in the AI for Good space. You will also be introduced to a framework for problem solving where AI is part of the solution. The course concludes with…
Great Learning
This free course on how to build a chatbot using Python will help you comprehend it from scratch. You will first start by understanding the history and origin of chatbot and comprehend the importance of implementing it using Python programming language. You will learn about types of chatbots and mu…
00:00:00 - Introduction 00:00:15 - Optimization 00:01:20 - Local Search 00:07:24 - Hill Climbing 00:29:43 - Simulated Annealing 00:40:43 - Linear Programming 00:51:03 - Constraint Satisfaction 00:59:17 - Node Consistency 01:03:03 - Arc Consistency 01:16:53 - Backtracking Search This course explores…
00:00:00 - Introduction 00:00:15 - Machine Learning 00:01:15 - Supervised Learning 00:08:11 - Nearest-Neighbor Classification 00:12:30 - Perceptron Learning 00:33:19 - Support Vector Machines 00:39:31 - Regression 00:42:37 - Loss Functions 00:49:33 - Overfitting 00:55:44 - Regularization 00:59:42 -…
00:00:00 - Introduction 00:00:15 - Neural Networks 00:05:41 - Activation Functions 00:07:47 - Neural Network Structure 00:16:02 - Gradient Descent 00:30:00 - Multilayer Neural Networks 00:32:58 - Backpropagation 00:36:27 - Overfitting 00:38:52 - TensorFlow 00:53:01 - Computer Vision 00:58:09 - Imag…
Google
This is the eighth course in the Google Cybersecurity Certificate. In this course, learners will define incident escalation from a security analyst perspective and explore the various security incident classification types. Learners will recognize the impact security incidents can have on an organi…
Microsoft
Demonstrate your ability to analyze, create, and use different methods to develop a console minigame in Python with GitHub Codespaces and GitHub Copilot.
MIT OpenCourseWare
6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiab…
00:00:00 - We'll begin shortly 00:06:06 - Welcome and Group photo 00:10:02 - Seminar begins 01:01:12 - Exercise: Sum 01:12:41 - Seminar resumes 01:37:31 - Exercise: Guessing Game 01:54:36 - Seminar resumes 02:19:30 - Exercise: Grid 02:30:34 - Seminar resumes 02:33:57 - Homework assignments 02:35:28…
00:00:00 - Introduction 00:00:15 - Language 00:04:55 - Syntax and Semantics 00:10:23 - Context-Free Grammar 00:20:35 - nltk 00:28:00 - n-grams 00:30:28 - Tokenization 00:38:00 - Markov Models 00:42:41 - Bag-of-Words Model 00:46:38 - Naive Bayes 01:09:18 - Information Retrieval 01:12:06 - tf-idf 01:…
