All Projects → AceCoooool → Mlf Mlt

AceCoooool / Mlf Mlt

Licence: mit
📚 机器学习基石和机器学习技法作业

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Mlf Mlt

The Hello World Of Machine Learning
Learn to build a basic machine learning model from scratch with this repo and tutorial series.
Stars: ✭ 41 (-63.39%)
Mutual labels:  jupyter-notebook, tutorial, ml
Imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (+73.21%)
Mutual labels:  jupyter-notebook, tutorial, ml
H2o Tutorials
Tutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+1065.18%)
Mutual labels:  jupyter-notebook, tutorial
Pytorch Pos Tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-14.29%)
Mutual labels:  jupyter-notebook, tutorial
Recommenders
Best Practices on Recommendation Systems
Stars: ✭ 11,818 (+10451.79%)
Mutual labels:  jupyter-notebook, tutorial
Tensorflow Tutorials
TensorFlow Tutorials with YouTube Videos
Stars: ✭ 8,919 (+7863.39%)
Mutual labels:  jupyter-notebook, tutorial
100 Plus Python Programming Exercises Extended
100+ python programming exercise problem discussed ,explained and solved in different ways
Stars: ✭ 1,250 (+1016.07%)
Mutual labels:  jupyter-notebook, tutorial
Advisor
Open-source implementation of Google Vizier for hyper parameters tuning
Stars: ✭ 1,359 (+1113.39%)
Mutual labels:  jupyter-notebook, ml
Kaggle Notebooks
Sample notebooks for Kaggle competitions
Stars: ✭ 77 (-31.25%)
Mutual labels:  jupyter-notebook, tutorial
Scipy2017 Jupyter Widgets Tutorial
Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"
Stars: ✭ 102 (-8.93%)
Mutual labels:  jupyter-notebook, tutorial
Codesearchnet
Datasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+1130.36%)
Mutual labels:  jupyter-notebook, ml
Python Data Science Handbook
A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
Stars: ✭ 102 (-8.93%)
Mutual labels:  jupyter-notebook, tutorial
Pragmaticai
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
Stars: ✭ 79 (-29.46%)
Mutual labels:  jupyter-notebook, ml
Machine Learning
My Attempt(s) In The World Of ML/DL....
Stars: ✭ 78 (-30.36%)
Mutual labels:  jupyter-notebook, tutorial
End To End Sequence Labeling Via Bi Directional Lstm Cnns Crf Tutorial
Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Stars: ✭ 87 (-22.32%)
Mutual labels:  jupyter-notebook, tutorial
Learning python
Source material for Python Like You Mean it
Stars: ✭ 78 (-30.36%)
Mutual labels:  jupyter-notebook, tutorial
Keras Tutorial
Tutorial teaching the basics of Keras and some deep learning concepts
Stars: ✭ 98 (-12.5%)
Mutual labels:  jupyter-notebook, tutorial
Tensorflow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Stars: ✭ 41,480 (+36935.71%)
Mutual labels:  jupyter-notebook, tutorial
Deep learning for biologists with keras
tutorials made for biologists to learn deep learning
Stars: ✭ 74 (-33.93%)
Mutual labels:  jupyter-notebook, tutorial
Nlp Tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (+8734.82%)
Mutual labels:  jupyter-notebook, tutorial

机器学习基石作业

  • Lec1~Lec4:作业1
  • Lec5~Lec8:作业2
  • Lec9~Lec12:作业3
  • Lec13~Lec16:作业4

机器学习技法作业

  • Lec1~Lec4:作业1
  • Lec5~Lec8:作业2
  • Lec9~Lec12:作业3
  • Lec13~Lec16:作业4

说明

① 此处主要放置关于需要编程题目的代码。为便于查看,为jupyter notebook格式

② 各作业的具体题目,以(.png放置)以及对应的数据集

③ 具体的解答过程和答案见博客

友情提示:

  1. 由于发现博客的网页有时反应很慢,所以将所有的markdown文件放置到此仓库下面一份。(个人采用typora编辑的,您可以clone到本地再查看)
  2. 由于这个仓库里的内容是好几年前写的,有些代码可能会"比较久远",以及很多内容我也不太记得了。我会最近抽时间再看下这部分的内容。
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].