#Data Science With Machine Learning

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#Data Science With Machine Learning Reel by @sundaskhalidd (verified account) - Comment 'Projects' to get 5 Data Scientist Project ideas and a plan πŸ‘©πŸ»β€πŸ’» ♻️ repost to share with friends. Here is how to become a data scientist i
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@sundaskhalidd
Comment β€˜Projects’ to get 5 Data Scientist Project ideas and a plan πŸ‘©πŸ»β€πŸ’» ♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond πŸ“ˆ οΏΌthe original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v what are other skills that you would add to the list and let me know what I should cover in the next video πŸ‘©πŸ»β€πŸ’» #datascientist #datascience #python #machinelearning #sqlοΏΌ #ai
#Data Science With Machine Learning Reel by @woman.engineer (verified account) - πŸ“How to prepare for Data Scientist role in 2026 πŸš€ CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● S
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@woman.engineer
πŸ“How to prepare for Data Scientist role in 2026 πŸš€ CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE FEATURE ENGINEERING & DATA UNDERSTANDING: ● This is where strong candidates stand out. ● Handling missing data ● Encoding categorical variables ● Feature scaling ● Outlier treatment CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE +++ for more look at the comment #datascientist #aiengineer #softwareengineer #datascience #dataengineer
#Data Science With Machine Learning Reel by @sop_edits_overseas (verified account) - 🎯 Data Science vs Data Analytics - What's the Difference & Which One's for YOU? Both are booming fields. Both are in-demand. But they're NOT the sam
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@sop_edits_overseas
🎯 Data Science vs Data Analytics β€” What’s the Difference & Which One’s for YOU? Both are booming fields. Both are in-demand. But they’re NOT the same! In this reel, we break down the core differences between Data Science and Data Analytics so you can pick the right path and future-proof your career. πŸ’»πŸ“‰πŸ” πŸš€ Covered in the reel: πŸ“Œ What each role actually does πŸ“Œ Tools & skills you need to learn (Python, SQL, Tableau, ML, etc.) πŸ“Œ Career paths & job roles πŸ“Œ Average salaries & global demand πŸ“Œ Which one is better for freshers? πŸ’‘ Data Analysts focus more on interpreting existing data to make decisions. πŸ’‘ Data Scientists build models, predict outcomes, and work with deeper algorithms & machine learning. πŸŽ“ Want to learn which course fits you or apply abroad for Data programs? we’ll guide you with personalized career advice + best universities in India & abroad! #DataScienceVsDataAnalytics #DataScience #DataAnalytics #BigData #MachineLearning #StudyAbroad2025 #CareerInData #SOPeditsOverseas #TechCareers #AnalyticsVsScience #StudyDataScience #DataCareer2025 #IndianStudentsAbroad #AbroadStudies
#Data Science With Machine Learning Reel by @chrisoh.zip - Machine learning relies heavily on mathematical foundations. #tech #ml #explore #fyp #ai
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@chrisoh.zip
Machine learning relies heavily on mathematical foundations. #tech #ml #explore #fyp #ai
#Data Science With Machine Learning Reel by @workiniterations - Steve brunton is sooo GOATEDDD !!! #machinelearning #datascience #stem #artificialintelligence
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@workiniterations
Steve brunton is sooo GOATEDDD !!! #machinelearning #datascience #stem #artificialintelligence
#Data Science With Machine Learning Reel by @askdatadawn (verified account) - This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I've been a Data Scientist at Meta, Patreon and other startups. An
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@askdatadawn
This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year. 1️⃣ Learn SQL SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database. It’s also a very easy coding language to learn, so I would start there. Use Interview Master to learn and practice SQL (link in bio): β†’ Learn SQL: www.interviewmaster.ai/content/sql β†’ Practice SQL: www.interviewmaster.ai/home 2️⃣ Start building Product Sense & Business Sense Product sense & business sense basically means you know how to use Data to solve real problems. I would start building this β€œsoft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world. I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job. 3️⃣ Learn Statistics How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well. β†’ Descriptive statistics β†’ Common distributions β†’ Probability and Bayes’ Theorem β†’ Basic Machine Learning models β†’ Experimentation concepts β†’ A/B experiment design Check out Stanford’s Introduction to Statistics, which is free on Coursera. 4️⃣ Learn Python Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3. I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio). 5️⃣ Use AI-assisted coding tools Many data scientists are already using tools, like Claude Code & Cursor, to 2x their productivity. And also many companies are evaluating you on your use of AI during interviews. #datascience #datascientist
#Data Science With Machine Learning Reel by @codingmermaid.ai (verified account) - Learning data science, machine learning and AI isn't always about math @brilliantorg But if you want to be recognized as a true professional and buil
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@codingmermaid.ai
Learning data science, machine learning and AI isn't always about math @brilliantorg But if you want to be recognized as a true professional and build something significant, you should learn it. Brilliant allows you to learn the key math skills 1. Probability theory 2. Statistics 3. Linear algebra 4. Differential calculus On Brilliant you can also work on other skills like AI for beginners, data analysis and visualization and even machine learning and deep learning. Comment Brilliant to get started or check the info in my bio!
#Data Science With Machine Learning Reel by @codeloopaa - Day 1 of our Machine Learning series πŸš€ We started with the basics - what machine learning really is and how it works. This series is for anyone who w
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@codeloopaa
Day 1 of our Machine Learning series πŸš€ We started with the basics β€” what machine learning really is and how it works. This series is for anyone who wants to understand ML without confusion. Next up: AI vs Machine Learning. . . . . #MachineLearning #ArtificialIntelligence #CodeLoopa #LearnAI #TechExplained
#Data Science With Machine Learning Reel by @volkan.js (verified account) - Comment "DATA" for the links. You Will Never Struggle With Data Science Again πŸ“Œ Learn the most important foundations with these beginner-friendly r
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@volkan.js
Comment "DATA" for the links. You Will Never Struggle With Data Science Again πŸ“Œ Learn the most important foundations with these beginner-friendly resources: 1️⃣ Learn Python for Data Science – FreeCodeCamp’s full beginner course 2️⃣ Essence of Linear Algebra – 3Blue1Brown’s visual, intuitive playlist 3️⃣ Statistics – A Full Lecture (2025) – step-by-step breakdown of core stats concepts Stop feeling overwhelmed by Python, statistics, or linear algebra. These tutorials simplify the fundamentals of Data Science with clear explanations, visuals, and real-world examples. Whether you’re preparing for a career in Data Science, getting into machine learning, or just curious about data analysis, this is the fastest way to finally understand how it all fits together. Save this post, share it, and turn confusion into clarity with Python, Stats, and Linear Algebra for Data Science πŸ“Š
#Data Science With Machine Learning Reel by @intellipaat (verified account) - πŸ”₯ How to Become a Data Scientist in 2026 . . { data scientist roadmap, data science 2026, ai ml careers, python sql, machine learning projects } . #d
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@intellipaat
πŸ”₯ How to Become a Data Scientist in 2026 . . { data scientist roadmap, data science 2026, ai ml careers, python sql, machine learning projects } . #datascience #datascientist #aicareers #machinelearning #intellipaat
#Data Science With Machine Learning Reel by @chrispathway (verified account) - Here is a full roadmap on how to get started with Data Science. Comment "DATA" for the full roadmap pdf. #datascience #machinelearning #coding #ai #u
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@chrispathway
Here is a full roadmap on how to get started with Data Science. Comment β€œDATA” for the full roadmap pdf. #datascience #machinelearning #coding #ai #university
#Data Science With Machine Learning Reel by @learnsmartx - The first real step isn't just looking at charts,it's mastering Machine Learning from the ground up. If you want to move past the basics and learn the
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@learnsmartx
The first real step isn't just looking at charts,it’s mastering Machine Learning from the ground up. If you want to move past the basics and learn the foundations from an expert with 5 years of industry experience, this is for you. Learn from A to Z. No fluff. Just engineering. #DataScience #MachineLearning #AIEngineer #PythonCoding #TechCareer #LearnSmartX #100DaysOfCode

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