Data Science Brain
9.74K subscribers
217 photos
8 videos
43 files
240 links
Download Telegram
❤️WEBSITES TO FIND DATA SCIENCE RPOJECTS (100+) - With Source Code❤️


1) 16 Data Science Projects with Source Code to Strengthen your Resume (Python/R) – Kaggle
https://www.kaggle.com/general/217499

2) Top 15 Data Science Projects With Source Code – Interviewbit
https://www.interviewbit.com/blog/data-science-projects/

3) 20 Data Science Projects with Source Code for Beginners – Dataquest
https://www.dataquest.io/blog/20-data-science-projects-with-source-code-for-beginners/

4) 20 Data Science Projects with Source Code for Beginners – projectpro
https://www.projectpro.io/article/15-data-science-projects-for-beginners-with-source-code/343

5) Top 10 GitHub Data Science Projects with Source Code in Python – omenda
https://omdena.com/blog/github-data-science-projects/

6) Top 35 Data Science Projects with Source Code – interview query
https://www.interviewquery.com/p/data-science-projects-with-source-code
Data Science Brain
Photo
❤️TOP 13 ML COURSES ON YOUTUBE 2023 - Most Recent & Best❤️


1) Stanford CS229: Machine Learning
https://t.co/cMLzvsdIcT

2) Making Friends with Machine Learning
https://t.co/LiujYMWFbT

3) Neural Networks: Zero to Hero
https://t.co/WaYzmyHYKU

4) MIT: Deep Learning for Art, Aesthetics, and Creativity
https://t.co/cANOWM1M2B

5) Stanford CS230: Deep Learning (2018)
https://t.co/F1jBHejS5k

6) Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)
https://t.co/2znEMgrJvf

7) Practical Deep Learning for Coders 2022
https://t.co/xTg00k7wrt

8) Practical Deep Learning for Coders 2022 - Part 2
https://t.co/82AHonifNK

9) ML with graphs
https://t.co/hkgfoFoB9O

10) Probabilistic Machine Learning — Philipp Hennig, 2021
https://t.co/Z76gVxeI3d

11) Deep Unsupervised Learning -- Berkeley Spring 2020
https://t.co/ywkSKC5r5w

12) Foundation Models
https://t.co/owLqaDXAwj

13) Stanford CS25 - Transformers United
https://t.co/nkTtSCG854
Download using the following link:

🔗https://usd-msads.github.io/interviews.pdf
❤️ROADMAPS FOR DATA ANALYTICS, DS, ML, DL & PYTHON - For 2023❤️


1) Data Analytics Roadmap
https://lnkd.in/gv_gWtNj

2) Data Science Roadmap
https://www.kaggle.com/getting-started/172246

3) Python Roadmap
https://roadmap.sh/python

4) ML Engineer Roadmap
https://www.kaggle.com/getting-started/174107

5) deep Learning Roadmap
https://i.am.ai/roadmap/#note
❤️Top 06 Data Science Hackathon Platforms - with Active Challenges❤️


1) MachineHack
https://machinehack.com/hackathons

2) Kaggle
https://www.kaggle.com/competitions

3) HackerEarth
https://www.hackerearth.com/challenges/

4) DataHack
https://datahack.analyticsvidhya.com/

5) DrivenData
https://www.drivendata.org/competitions/

6) Techgig
https://www.techgig.com/challenge
Data Science Brain
Photo
❤️IMPORTANT MATHS FOR DATA SCIENCE - And Resources to Learn it❤️


Coursera: Data science math skills
https://www.coursera.org/learn/datasciencemathskills

edX: Introduction to algebra
https://www.edx.org/course/introduction-algebra-schoolyourself-algebrax-1

Khan Academy: Algebra I
https://www.khanacademy.org/math/algebra

Coursera: Statistics with R specialization
https://www.coursera.org/specializations/statistics

Coursera: Business statistics and analysis specialization
https://www.coursera.org/specializations/business-statistics-analysis

edX: Statistics and probability in data science using Python
https://courses.edx.org/courses/course-v1:UCSanDiegoX+DSE210x+3T2017/course/

edX: Linear algebra: foundations to frontiers
https://courses.edx.org/courses/course-v1:UTAustinX+UT.5.05x+2T2017/course/

Coursera: Mathematics for machine learning: linear algebra
https://www.coursera.org/learn/linear-algebra-machine-learning

edX: Pre-university calculus
https://www.edx.org/course/pre-university-calculus

Khan Academy: Calculus I
https://www.khanacademy.org/math/calculus-1

Coursera: Mathematics for machine learning: multivariable calculus
https://www.coursera.org/learn/multivariate-calculus-machine-learning

Coursera: Introduction to discrete mathematics for computer science specialization
https://www.coursera.org/specializations/discrete-mathematics

Coursera: Introduction to mathematical thinking
https://www.coursera.org/learn/mathematical-thinking

Udemy: Master discrete mathematics: sets, math logic, and more
https://www.udemy.com/master-discrete-mathematics/

edX: Optimization methods in business analytics
https://courses.edx.org/courses/course-v1:MITx+15.053x+3T2016/course/

Coursera: Discrete optimization
https://www.coursera.org/learn/discrete-optimization

edX: Deterministic optimization
https://www.edx.org/course/deterministic-optimization-0
❤️FREE LINKEDIN COURSES TO LEARN DATA ANALYSIS - For 2023❤️


1) Hands on Introduction: SQL
https://t.co/mbLYPLDlkZ

2) Level Up: SQL Code Challenges
https://t.co/MKIgLPxinb

3) Hands on Introduction: Python
https://t.co/7nR8R7pp5G

4) Level Up: Python Skill Test
https://t.co/0HPjnG8xsb

5) Advanced Python
https://t.co/7vMKcYWVWE

6) Data Cleaning in Python Essential Training
https://t.co/HN4KemiEXT

7) Data Preparation and Exploratory Data Analysis in Python
https://t.co/MEcKPDlsbu