12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Repository dossier
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
Brief / README 摘要
查看原文100 Days of Machine Learning Coding as proposed by Siraj Raval Get the datasets from here Check out the code from here. Check out the code from here. Check out the code from here. Moving forward into #100DaysOfMLCode today I dived into the deeper depth of what Logistic Regression actually is and what is the math involved behind it. Learned how cost function is calculated and then how to apply gradient descent algorithm to cost function to minimize the error in prediction. Due to less time I will now be posting an infographic on alternate days. Also if someone wants to help me out in documentai…
Topics / 标签
相关推荐
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
An Open Source Machine Learning Framework for Everyone