Avi Kumar Talaviya
@avikumart_
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Data science and AI | Content writer | ML/community @OmdenaAI , @streamlit and Analytics Vidhya | Sharing insights and ideas at the intersection of data and AI
DM for collaboration
Joined December 2017
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The annual flagship AI developer conference
#BaiduCreate2024
is here on April 16th, Tuesday🙌🔥
Under the theme "Create the Future", this year's Baidu Create is set to unveil a series of stunning AI advancements for developers
Join live on X:
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SQL is the most important skill to have as a data scientist💻
Here are the quick SQL summary cheat-sheets to revise SQL commands📝👍
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14 Python interview questions to prepare for python coding interviews🐍🚀
Save it for later👇👍
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PowerBI is the most useful tool for a data analyst to gather, summarise, analyze and present insights in the most intuitive way possible.
Here are the 6 YT videos to learn PowerBI for FREE.
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Youtube is the best source to learn data science and machine learning for those who prefer video-based learning📈🤖
Here are some of the best Machine learning videos to look for👀
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TOP 9 websites and courses to learn python programming language for data science and machine learning
Save for later👍
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10 FREE online textbooks for data science you must own to excel in solving data problems📈🚀
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3 SQL websites to practice SQL as a beginner to interview preparation.
A mini 🧵👇
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TOP 10 Data science techniques you must learn to succeed in your data science career🔥📊🚀
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TOP 10 Data Science tools and technologies YOU must learn to master the ART of Data Science🎨📊📈
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Tableau is a powerful data visualization tool that comes in super handy to present your INSIGHTS as an ANALYST
Here are the 6 YT videos to must watch to get your hands on tableau💪
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Excel is a fundamentally most powerful tool to master irrespective of the domain you choose💼📊📈
Here are some of the best YT channels to lean EXCEL for FREE
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Kaggle is the goldmine for data science enthusiasts and begineers stepping into this field🤖
Here are some of the best kaggle notebooks for every beginner in data science🔽🚀
A thread~🧵
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Whether data analytics or data science, python's 'pandas' is irreplaceable when it comes to data manipulation and wrangling 🐼
Here are quick cheatsheets to keep with you, when you work with pandas🔽👍
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10 Data Science certifications you can consider to UPSKILL yourself in the Data Science domain and standout in the job market🔥📈
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Top 9 Online Learning Websites for Data science courses to kick-start your Data journey📈🤖
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@aratrika_g08
Lol, are you proud of harbering illegal Bangladeshis to ruin Bengal?
No wonder bongs go to GJ, MH for jobs
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The simplest regular expressions cheat sheet you'll ever find🐍📝👇
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10 Github repositories you need to succeed and master data science and machine learning
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SQL/NoSQL is a must to excel in the field of data analysis and data science⭐💲
Here are the TOP 7 YT videos to learn SQL/NoSQL for FREE
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Cracking coding interview for data science only takes a mammoth amount of practice in problem-solving.
Solve Python, and SQL problems to land a job in data science with these 5 websites. open this thread to learn more
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A Complete Data science resume guide to WIN hiring manager and LAND a job as a data scientist🤑🤜
Save for a future reference👍
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A comprehensive data analytics roadmap🛣📊🚀
▶ Start to finish data analytics roadmap including project ideas and FREE learning resources to apply for jobs📝
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A complete data science roadmap for beginners🤖🚀
▶ Roadmap, tech-stack, learning resources, & projects to build a portfolio along with Timeline📅⏲
A thread🧵↓
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Learning python is a continuous process🔁
You have to keep revising concepts to get strong hands on them.💪🐍
Here are the basics of python's 'functions' and 'data types' cheat sheets to archive just that🔽👍
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Kaggle has just released new 'Kaggle Learn Guides' for practicing data scientists and machine learning engineers.🎉
This is a curated resource of high-quality notebooks and guides by the kaggle team
Open this thread to find them learn Data science from the best
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8 Data science projects to have in your portfolio to apply for a job💻🚀
▶ Project ideas, open-source project code, and learning outcome👨💻🔰
A thread🧵🔽
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The Big data market is expected to top $229.4 Billion by 2025 according to the reports📈
Here are 6 High paying data careers you can choose to build your career in🤑💲
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Kaggle is a fundamentally powerful platform to learn data science🤖🚀
Here are the TOP 7 kaggle resources to learn data science and
solve complex data problems (Don't miss it!)
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Every data scientist's day starts with👇🙄🙆♂️
import NumPy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
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Are you looking to learn statistics/mathematics, SQL/NoSQL, or advanced machine learning??🤖🤔
then, here's a thread of threads with the resources👇
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Data visualization guide for creating plots for a data visualization project👍
Which chart to use in what circumstances?? (See the below image)
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10 Data science bootcamps you need to check out if YOU want to ELEVATE your career in data science and machine learning🤖📈
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Machine learning algorithms to learn to become a data scientist in 2022🤖
▶ A compilation of algorithms, libraries used, topics, project ideas, and resources to learn everything👍
A thread🧵🔽
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Kaggle is the goldmine for data scientists and machine learning engineers 🥇🛠
Here are the TOP 10 *Hidden* resources from kaggle that you might not be aware of but exist🧵👇
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Mathematics foundations are a must to build solid ML skills
Dig the goldmine by learning math for ML from these FREE YT videos!🤯🤖
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A complete guide on HOW to apply for data science JOBS to stand out in the crowd📈
Save for future reference🔥
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9 Websites to look for blogs and articles to master data science concepts and techniques
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The most comprehensive data science interview preparation guide you'll ever need to crack DS interviews📝📈
Save for future reference👍🚀
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12 data science communities you can join to enrich your data learning journey & collaborate with like-minded people📊📈
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Over the last 3 weeks, I published 8 amazing threads to make the data science journey of newbies easier🙌🚀
Putting this thread to compile all of them for easy access
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10 VScode extensions every data scientist should have💻🤖
1. Python
2. Pylance
3. Python Indent
4. Jupyter
5. Jupyter notebook renderers
6. DVC - (ML model experiment tracking)
7. Gitlens
8. Todo MD
9. Excel viewer
10. Markdown preview GitHub styling
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Find your next remote data job using these 8 websites📝🚀
1) angel. co
2) remote. co
3) remoteok. io
4) remotive. io
5) flexjobs. com
6) justremote. co
7) remotefront .io
8) remotehub .com
Apply to more jobs to increase your chances of getting hired, don't settle for less!
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There is a 'leetcode' for software developers to practice coding problems...
but what's for data scientists? 🤷♂️
I found 'stratascratch' recently which is designed to practice data science coding questions in python and SQL.
Do check it out🔽👍
🔗
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A complete set of Python for data science cheat sheets🐍👍
Click the link below to download them👇
🔗
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Cracking coding interviews for data science requires a good hold on python and SQL programming languages✅🎉
Solve Python, and SQL problems to land a job in data science with these 5 websites🌏⚡
🧵👇
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Machine learning roadmap & projects with source code to build a portfolio for data scientists💻🤖🚀
Save this thread for later👍
A thread🧵↓
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Data Analyst vs Data Scientist🤔❓
See the fundamental differences between them here👇✅
#100DaysOfCode
#MachineLearning
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What if I tell you you can earn money while learning code💲🤑
Yes, you heard it right, you can earn while learning how to code along with an awesome community📈
Open this thread to learn how you can do the same👇
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5 types of python interview questions to prepare for data science job roles💻👨💻
1. Grouping, aggregation, and ordering data
2. Joining tables
3. Filtering data
4. Text manipulation
5. Date time manipulation
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Data science and machine learning fields are booming like no other🚀
Learn from the best ML courses by Google and master the art of data science🎨
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Go Zero to Hero in machine learning with these 4 YT videos by TensorFlow
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Data scientists and machine learning engineers forget git and GitHub for project collaboration
We got to learn much more complex tools than Github,
here's a🧵 to explain GitHub alternative for data projects
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A must-have Github repo for all the data science and ML practitioners🤖👍
900 curated ML libraries and frameworks to build ML/AI models and contribute to the open-source
Check it out🔽
🔗
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Statistics and mathematics foundations are significantly important to learn data science effectively and APPLY in real-world use-cases to solve the problem at hand
Here are the TOP 11 resources/YT channels that will help you master math for Data Science👇
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Are you looking to master SQL for data science?🤔📊
Here are the TOP 5 courses to learn SQL from the best teachers for FREE🔥
A 🧵👇
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Excel is a fundamentally most powerful tool to master irrespective of the domain you choose💼📊📈
Here are some of the best YT channels to learn EXCEL
A🧵👇
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An awesome visual of all the distance metrics used in Machine learning and Deep learning techniques💻🤖
Save for later👇👍
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Medium is a reservoir of data science and machine publications that publishes some of the best DS/ML articles from writers around the world 🌎🌍🌏
Here are the top 6 publications you must follow to read the best articles in the data domain
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Youtube is the best source to learn data science and machine learning for those who prefer video-based learning📈
🤖 Here are some of the best Machine learning videos to look for👀
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Every data science concept and tool is explained from scratch in this kaggle notebook repo🔥
If you are a beginner in data science then I can't recommend enough to start with this tutorial series.
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Python programming language fundamentals to master as a data scientist
A thread🧵
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Are you looking to learn advanced machine learning?🤖📈
Here are courses by google to learn advanced ML for free✌😃
🧵👇
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10 Data science certifications you can consider to build a solid CV that stands out from the crowd💪
(Add credentials you need in your portfolio)
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A real-life data science coding skill assessment test from a winning candidate
Learn how real-world coding tests are being done👇
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Learn data science and machine learning with a complete end-to-end data science roadmap in 2023 (Don't miss it!🤯)
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Top 7 GitHub repository you need to master the art of data science now and forever!🚀🤖
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Business analytics Vs Data analytics 📊📈
What would you choose, if not data science??👀🤔💬
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Advance into machine learning with these advanced ML courses by Google
Learn skills and build a killer portfolio to show them off!📝✌
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Every data scientist should consistently focus on one technical skill and practice it more frequently👨💻
...and that is python's pandas dataframe wrangling and manipulations skill
it is always important and going to be there in every project you work on👍
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8 industry applications of data science tools and technologies to build your career in🏭📈
→Choose your niche
→Set your career goals
→Strategize short-term roadmap
→Take action and Work hard
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Pandas for data science💻🤖
A super-handy cheat sheet to have for your reference.👇
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Must learn machine learning algorithms for data science
1. Linear regression
2. Logistics regression
3. Decision trees
4. K nearest neighbors
5. SVM
6. Kmeans
7. PCA
8. Random Forests
9. Gradient-boosted trees
10. XGBoost
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Want to learn Data analysis in python at 100% FREE of cost??🤔
Here are the 3 courses you should take NOW to get started with data analysis
🧵👇
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Mathematics foundations are a must to build solid ML skills and excel in your career🛠
Dig the goldmine by learning math for ML from these FREE YT videos!🤯🤖⚡
🧵👇
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Python code of the day🐍👍
▶ Find the upper case and lower case letters in any string using the below user-defined function in python📝👀
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7 Data science certifications you can consider to build a solid CV that stands out from the crowd💪
(Add credentials you need in your portfolio)
A 🧵👇
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Python libraries that help in data science tasks💻👍
• Numpy - n-dimensional array computations
• Pandas - Data wrangling and manipulation
• Scipy - statistical techniques & optimization methods
• Matplotlib - Static data visualizations
• Sklearn - building ML models
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Web scraping is hard but it is the most crucial skill one should learn as a data scientist🤖
There are many techniques now available to scrape the website without getting blocked
Here's a thread on how can you scrape the website with automated website unlocking🧵👇
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Are you learning powerBI for data analysis?👀
Here is the compilation of 52 courses by
@DataKwery
in one place without any hastle🤯
And, don't forget to sign up by clicking on the '⭐' icon to stay updated.
🔗
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🤖📚 Beginner's Guide to Machine Learning 📚🤖
Machine learning can seem intimidating to novices.
Check out this thread that breaks down the basics into simple, easy-to-understand explanations
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Natural language processing (NLP) is one of the rising domains in AI and NLP jobs are increasing rapidly
Want to win an NLP game to land a high-paying job? open this thread to learn more about the same👇
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Over the last 30 Days, I published 6 amazing threads to help data aspirants find the best resources available💻🤖
Here is the thread to access all 6 threads altogether↓
A🧵 of🧵s↓
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Time series forecasting is crucial for predicting future trends based on historical data.
It is one of the most important topics to learn in data science👇
Here are 5 methods widely used in the field:
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Career options in the analytics apart from the data scientist role👍😃
• Data analyst
• Business analyst
• Business Intelligence developer
• Tableau developer
• Decision scientist
• Marketing analyst
• Operations analyst
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Explore 180 data science and ML projects from a wide range of use cases and industries of your choice.👀💯
And build your portfolio👇👍⚡
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It took me 15 days of work and iterations to build an Image classification model of 87% accuracy to classify 6 categories of images from the Intel image dataset.
Here is the simple guide on how to approach machine learning projects for the image dataset (With source code)
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Announcing the first-ever course on Data-Centric AI, offered by MIT and now on Youtube for FREE!
We have seen a lot of courses on ML modeling but data-centered AI is hardly taught even though it is often vital to getting good performance
(Open this thread to learn more)
A🧵👇
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Practice coding, learn deep learning, and get the state of data science around the world🌏🌍🌎
All in one in this thread👇🚀
🧵👇
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ML platforms for analysts📊🤖📈
• Dataiku
• Rapidminer
• TIBCO
• KNIME
• Orange data mining
• Alteryx
• DataRobot
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Data analytics cycle followed in industry📊
1. Find the problem or questions to answer
2. Plan the analytics methods to use to solve that problem
3. Extract the data from various sources
4. Clean, wrangle, & transform the data
5. Run the ML algorithms & communicate the outcome
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Looking to build an awesome data science portfolio?
Here are the TOP 15 data science projects with source code to work on👇
Check out the link now
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TOP 10 Machine learning algorithms you have to learn in order to stay ahead in your career (And their industry use-cases)🚀
A🧵👇
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5 major machine learning algorithms every data scientist should learn👍🔽
1. Logistic regression✅
2. Support vector machines✅
3. Multilayer perceptron✅
4. Random forest✅
5. Boosted Trees✅
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Today is my 100th day of consistant coding, learning ML, content creation, and blogging.
100Days of coding
100Days of content creation
100Days of blogging & writing
100Days of consistency
Here is how I made IMPOSSIBLE, →POSSIBLE and how can YOU do the same.
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Nobody tells you this but data cleaning and data preparation is the single most important and hardest part of any data science project life cycle.
Focus on learning data understanding and preparation than modeling.
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9 SQL concepts every aspiring data scientist must know✅
🧵👇
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Natural language to SQL is one of the most exciting applications of large language models
Here's the step by step guide to build such application👇
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Top 5 youtube videos to learn machine learning (without spending a 💲)
A🧵👇
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Want to get started in data science with Python?
Here are some essential concepts to learn! 📈👩💻
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A complete data engineering roadmap to follow in 2023
(Open this thread to acquire some high-paying skills)
A🧵👇
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