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mkrupczak3 / machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.
https://www.codementor.io/zuzoovn/how-i-plan-to-become-a-machine-learning-engineer-a4metbcuk
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Alternative resources #1

Open mkrupczak3 opened 4 years ago

mkrupczak3 commented 4 years ago

Compare with resources as available here on Kaggle:

https://www.kaggle.com/getting-started/51078#290875

mkrupczak3 commented 4 years ago

Other Good resources:

ClaoudML

Going into Data Science

Towards Data Science

mkrupczak3 commented 4 years ago

learn sql using excel as a bridge

mkrupczak3 commented 4 years ago

Randy Lao

Here's an ultimate data science starter kit:

  1. Foundational Skills • Intro to Python https://lnkd.in/grCsv8v • Intro to R https://lnkd.in/gKFiDZn • Data Wrangling Pydata (90min) https://lnkd.in/gEhF3-W • EDA (20min video) https://lnkd.in/gT8_RKh • Stats/Prob (Khan Academy) https://lnkd.in/gsyGpVu

  2. Technical Skills • Data Gathering- Why API Medium https://lnkd.in/gvahtsN • Intro to SQL https://lnkd.in/giWs-3N • Complete SQL Bootcamp https://lnkd.in/gsgf_fF • Data Visualization Medium https://lnkd.in/g3FSRgY • Machine Learning A-Z https://lnkd.in/gXqdBsQ

  3. Business Skills • Communication - Data Storytelling https://lnkd.in/gtiCSNT • Business Analytics- Geckoboard https://lnkd.in/g2X-Xtp

  4. Extra Skills • NLP - How to solve 90% of NLP https://lnkd.in/gh8bKe4 • Recommendation Systems - Spotify https://lnkd.in/gH2GQKu • Time Series Analysis - Complete Guide https://lnkd.in/gFZU2Rb

  5. Practice • Projects/Competitions - Kaggle Kernels https://www.kaggle.com/ • Problem Solving Challenges - HackerRank https://lnkd.in/g9Ps2cb

Hope these resources help!

👉If you want more free DS/ML resources, feel free to check out my site: www.ClaoudML.com

mkrupczak3 commented 4 years ago

Top 10 Websites for Data Science

  1. Coursera
  2. EdX
  3. Datacamp
  4. Udemy
  5. Udacity
  6. Khan Academy
  7. Kaggle
  8. R-bloggers
  9. Analytics Vidya
  10. KDNuggets

Top 10 Skills for Data Science

  1. Probability & Statistics
  2. Linear Algebra
  3. Python
  4. R
  5. SQL/Presto
  6. Tableau/PowerBI
  7. AWS/Azure
  8. Spark
  9. Excel
  10. DevOps

Top 10 Algorithms for Data Science

  1. Linear Regression
  2. Logistics Regression
  3. K-means Clustering
  4. PCA
  5. Support Vector Machine
  6. Decision Tree
  7. Random Forrest
  8. Gradient Boosting Machine
  9. XGboost
  10. Artificial Neural Networks

Top 10 Industries for Data Science

  1. Technology
  2. Finance
  3. Retail
  4. Telecom
  5. Healthcare & Pharma
  6. Manufacturing
  7. Automotive
  8. Cybersecurity
  9. Energy
  10. Utilities
mkrupczak3 commented 4 years ago

pytorch for deep learning a quick quide for starters

toe in the water examining deep learning and data science

which gpu for deep learning (go fast)

Apex NVIDIA acceleration extensions for pytorch (go really fast)