llSourcell / Math_of_machine_learning
This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube
Stars: ✭ 99
Labels
Projects that are alternatives of or similar to Math of machine learning
Gp regression
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Stars: ✭ 99 (+0%)
Mutual labels: jupyter-notebook
Facedetector
A re-implementation of mtcnn. Joint training, tutorial and deployment together.
Stars: ✭ 99 (+0%)
Mutual labels: jupyter-notebook
Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Stars: ✭ 1,352 (+1265.66%)
Mutual labels: jupyter-notebook
Pytorch Bert Document Classification
Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)
Stars: ✭ 99 (+0%)
Mutual labels: jupyter-notebook
Keras Tutorial
Tutorial teaching the basics of Keras and some deep learning concepts
Stars: ✭ 98 (-1.01%)
Mutual labels: jupyter-notebook
Ucl Deep Learning Ans Reinforcement Learning
Deep learning and Reinforcement learning lecture and course work
Stars: ✭ 99 (+0%)
Mutual labels: jupyter-notebook
Linear algebra with python
Lecture Notes for Linear Algebra Featuring Python
Stars: ✭ 1,355 (+1268.69%)
Mutual labels: jupyter-notebook
Cbe20255
Introduction to Chemical Engineering Analysis
Stars: ✭ 98 (-1.01%)
Mutual labels: jupyter-notebook
Adversarially Learned Anomaly Detection
ALAD (Proceedings of IEEE ICDM 2018) official code
Stars: ✭ 99 (+0%)
Mutual labels: jupyter-notebook
Ds For Telco
Source material for Data Science for Telecom Tutorial at Strata Singapore 2015
Stars: ✭ 98 (-1.01%)
Mutual labels: jupyter-notebook
Hands On Exploratory Data Analysis With Python
Hands-on Exploratory Data Analysis with Python, published by Packt
Stars: ✭ 99 (+0%)
Mutual labels: jupyter-notebook
Ml Sound Classifier
Machine Learning Sound Classifier
Stars: ✭ 98 (-1.01%)
Mutual labels: jupyter-notebook
Afnet
Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'
Stars: ✭ 99 (+0%)
Mutual labels: jupyter-notebook
math_of_machine_learning
This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube
Coding Challenge - Due date, March 23, 2018
Build your own regression model to make a predict. Bonus points for 1) a cool dataset or idea 2) for building it using pure numpy 3) good documentation Post github links in the comment section. Good luck!
Overview
This is the code for this video on Youtube by Siraj Raval about the math of ML. This code uses linear regression to predict housing prices in NYC.
Instructions
Run the code via the 'jupyter notebook' command in the root directory. install jupyter here
Credits
Credits for this code go to shreyas 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].