llSourcell / Predicting_winning_teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
Stars: ✭ 229
Labels
Projects that are alternatives of or similar to Predicting winning teams
Data
Data and code behind the articles and graphics at FiveThirtyEight
Stars: ✭ 15,241 (+6555.46%)
Mutual labels: jupyter-notebook
Functional intro to python
[tutorial]A functional, Data Science focused introduction to Python
Stars: ✭ 228 (-0.44%)
Mutual labels: jupyter-notebook
Pytorch Transformers Classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
Stars: ✭ 229 (+0%)
Mutual labels: jupyter-notebook
Deep Learning In Production
Develop production ready deep learning code, deploy it and scale it
Stars: ✭ 216 (-5.68%)
Mutual labels: jupyter-notebook
Satellite analysis
Analysis scripts of things related to satellites
Stars: ✭ 228 (-0.44%)
Mutual labels: jupyter-notebook
Scnn
Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Stars: ✭ 228 (-0.44%)
Mutual labels: jupyter-notebook
Handson Ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Stars: ✭ 18,554 (+8002.18%)
Mutual labels: jupyter-notebook
Dsnd term1
Contains files related to content and project of DSND
Stars: ✭ 229 (+0%)
Mutual labels: jupyter-notebook
Alphatools
Quantitative finance research tools in Python
Stars: ✭ 226 (-1.31%)
Mutual labels: jupyter-notebook
Weatherbench
A benchmark dataset for data-driven weather forecasting
Stars: ✭ 227 (-0.87%)
Mutual labels: jupyter-notebook
Coronavirus Epidemic Covid 19
👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
Stars: ✭ 228 (-0.44%)
Mutual labels: jupyter-notebook
18335
18.335 - Introduction to Numerical Methods course
Stars: ✭ 228 (-0.44%)
Mutual labels: jupyter-notebook
Statistics python codes
《统计学原理实验教程(Python)》书中代码实现。尽可能加注释,力求代码的可复用性。
Stars: ✭ 230 (+0.44%)
Mutual labels: jupyter-notebook
Pydata Book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Stars: ✭ 16,386 (+7055.46%)
Mutual labels: jupyter-notebook
Question Generation
Generating multiple choice questions from text using Machine Learning.
Stars: ✭ 227 (-0.87%)
Mutual labels: jupyter-notebook
Deeplearning Models
A collection of various deep learning architectures, models, and tips
Stars: ✭ 14,654 (+6299.13%)
Mutual labels: jupyter-notebook
Snap N Eat
Food detection and recommendation with deep learning
Stars: ✭ 229 (+0%)
Mutual labels: jupyter-notebook
Cd4ml Workshop
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Stars: ✭ 229 (+0%)
Mutual labels: jupyter-notebook
Predicting_Winning_Teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
Overview
This is the code for this video on Youtube by Siraj Raval. We're going to predict whether or not the home team will win given a set of other statistics. The dataset for this was retrieved from this site.
Dependencies
- scikit-learn
- xgboost
- pandas
Install missing dependencies with pip.
Usage
Run jupyter notebook
in terminal, then the code will pop up in your browser.
Install jupyter here.
Credits
Credits for this code go to RUdrakshTuwani. I've merely created a wrapper to get people started
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].