# Learn_Machine_Learning_in_3_Months **Repository Path**: adcelero/Learn_Machine_Learning_in_3_Months ## Basic Information - **Project Name**: Learn_Machine_Learning_in_3_Months - **Description**: This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-10-31 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Learn_Machine_Learning_in_3_Months This is the Curriculum for "Learn Machine Learning in 3 Months" [this](https://youtu.be/Cr6VqTRO1v0) video by Siraj Raval on Youtube # Month 1 ## Week 1 Linear Algebra https://www.youtube.com/watch?v=kjBOesZCoqc&index=1&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/ ## Week 2 Calculus https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr ## Week 3 Probability https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2 ## Week 4 Algorithms https://www.edx.org/course/algorithm-design-analysis-pennx-sd3x # Month 2 ## Week 1 #### Learn python for data science https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU #### Math of Intelligence https://www.youtube.com/watch?v=xRJCOz3AfYY&list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D #### Intro to Tensorflow https://www.youtube.com/watch?v=2FmcHiLCwTU&list=PL2-dafEMk2A7EEME489DsI468AB0wQsMV ## Week 2 Intro to ML (Udacity) https://eu.udacity.com/course/intro-to-machine-learning--ud120 ## Week 3-4 ML Project Ideas https://github.com/NirantK/awesome-project-ideas # Month 3 (Deep Learning) ## Week 1 Intro to Deep Learning https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3 ## Week 2 Deep Learning by Fast.AI http://course.fast.ai/ ## Week 3-4 Re-implement DL projects from my github https://github.com/llSourcell?tab=repositories --- *Additional Resources:* - People in ML to [follow on Twitter](https://www.quora.com/Who-should-I-follow-on-Twitter-to-get-useful-and-reliable-machine-learning-information "Quora.com") - Join the ["Wizards" Slack channel](http://wizards.herokuapp.com/ "Herokuapp.com")