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    <title>DEV Community: kody</title>
    <description>The latest articles on DEV Community by kody (@kody_c2fc16bba41e453db5da).</description>
    <link>https://dev.to/kody_c2fc16bba41e453db5da</link>
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      <title>🎓 Learn Data Science with Python in Hindi – Complete YouTube Series [FREE]</title>
      <dc:creator>kody</dc:creator>
      <pubDate>Fri, 01 Aug 2025 10:14:14 +0000</pubDate>
      <link>https://dev.to/kody_c2fc16bba41e453db5da/learn-data-science-with-python-in-hindi-complete-youtube-series-free-14dl</link>
      <guid>https://dev.to/kody_c2fc16bba41e453db5da/learn-data-science-with-python-in-hindi-complete-youtube-series-free-14dl</guid>
      <description>&lt;h1&gt;
  
  
  🎥 Learn Data Science with Python – Full YouTube Series (In Hindi) 🇮🇳
&lt;/h1&gt;

&lt;p&gt;Are you a student, self-learner, or aspiring data analyst from India or anywhere in the world who wants to learn &lt;strong&gt;Data Science using Python&lt;/strong&gt; — in &lt;strong&gt;Hindi&lt;/strong&gt;?&lt;/p&gt;

&lt;p&gt;You're in the right place!&lt;br&gt;&lt;br&gt;
I’ve launched a brand-new &lt;strong&gt;YouTube series&lt;/strong&gt; to help beginners learn Python for Data Science, step-by-step, in simple Hindi 🇮🇳&lt;/p&gt;




&lt;h2&gt;
  
  
  📚 What's Covered in the Series?
&lt;/h2&gt;

&lt;p&gt;✅ Python Basics&lt;br&gt;&lt;br&gt;
✅ NumPy (Numerical Python)&lt;br&gt;&lt;br&gt;
✅ Pandas for Data Analysis&lt;br&gt;&lt;br&gt;
✅ Matplotlib &amp;amp; Seaborn for Data Visualization&lt;br&gt;&lt;br&gt;
✅ Real Projects: IPL, Netflix, FIFA, etc.&lt;br&gt;&lt;br&gt;
✅ Machine Learning Algorithms (Coming Soon)&lt;/p&gt;




&lt;h2&gt;
  
  
  🚀 Why Watch This Series?
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Hindi Explanation (easy to understand)
&lt;/li&gt;
&lt;li&gt;Beginner to Advanced coverage
&lt;/li&gt;
&lt;li&gt;Hands-on Code Walkthroughs
&lt;/li&gt;
&lt;li&gt;Real Projects for Resume 💼
&lt;/li&gt;
&lt;li&gt;Short + Long videos for every topic
&lt;/li&gt;
&lt;li&gt;Focused on Data Analysis &amp;amp; ML careers&lt;/li&gt;
&lt;/ul&gt;




&lt;h2&gt;
  
  
  ▶️ Playlist Link:
&lt;/h2&gt;

&lt;p&gt;🔗 &lt;a href="https://youtube.com/playlist?list=PLpkOQ1pmt7e1HxQOvmxXJA7lVQsuB-ZZa&amp;amp;si=KzjpjPSl4g69kZgU" rel="noopener noreferrer"&gt;📺 Data Science with Python – Full Playlist&lt;/a&gt;&lt;/p&gt;




&lt;h2&gt;
  
  
  📌 Who Should Watch This?
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Students from B.Tech / B.Sc / BCA / Non-CS backgrounds
&lt;/li&gt;
&lt;li&gt;Beginners in Python
&lt;/li&gt;
&lt;li&gt;Aspiring Data Analysts &amp;amp; ML Engineers
&lt;/li&gt;
&lt;li&gt;Hindi-speaking learners who want clarity&lt;/li&gt;
&lt;/ul&gt;




&lt;h2&gt;
  
  
  🔔 Subscribe &amp;amp; Stay Updated:
&lt;/h2&gt;

&lt;p&gt;New videos uploaded every week!&lt;br&gt;&lt;br&gt;
👉 Subscribe to my channel &lt;a href="https://youtube.com/@kody66?si=jm4sjdmsiwwCD--a" rel="noopener noreferrer"&gt;@KODY&lt;/a&gt; for more free content.&lt;/p&gt;




&lt;p&gt;💬 &lt;strong&gt;Let’s Connect!&lt;/strong&gt;&lt;br&gt;&lt;br&gt;
I’d love to hear your feedback and suggestions. Comment your topic requests, and I’ll cover them in upcoming videos.&lt;/p&gt;

&lt;p&gt;👋 Thank you for supporting Hindi tech content!  &lt;/p&gt;

&lt;h1&gt;
  
  
  datascience #python #machinelearning #numpy #beginners #indiandevs #youtube #tutorial #hindi
&lt;/h1&gt;

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    <item>
      <title>🔥 Beginner-Friendly Netflix Data Analysis Project using Python – Full Guide + Video</title>
      <dc:creator>kody</dc:creator>
      <pubDate>Wed, 30 Jul 2025 05:51:59 +0000</pubDate>
      <link>https://dev.to/kody_c2fc16bba41e453db5da/beginner-friendly-netflix-data-analysis-project-using-python-full-guide-video-5een</link>
      <guid>https://dev.to/kody_c2fc16bba41e453db5da/beginner-friendly-netflix-data-analysis-project-using-python-full-guide-video-5een</guid>
      <description>&lt;p&gt;Have you ever wondered how to analyze real-world datasets using Python?&lt;br&gt;
If you're a beginner looking for a hands-on project that will level up your data analysis skills, this one's for you! 🎯&lt;/p&gt;

&lt;p&gt;In this project, I’ve analyzed a Netflix dataset using Python and powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn. It’s perfect for beginners who want to:&lt;/p&gt;

&lt;p&gt;Learn how to clean, explore, and visualize data&lt;/p&gt;

&lt;p&gt;Get comfortable with Python for data science&lt;/p&gt;

&lt;p&gt;Work on a portfolio-worthy project&lt;/p&gt;

&lt;p&gt;📺 Watch Full Tutorial on YouTube (&lt;a href="https://youtu.be/Yo--ca5IJIE?si=-Lj1PfiHCDQcwDlP" rel="noopener noreferrer"&gt;https://youtu.be/Yo--ca5IJIE?si=-Lj1PfiHCDQcwDlP&lt;/a&gt;)&lt;br&gt;
👉 Click here to watch the video(&lt;a href="https://youtube.com/@kody66?si=Mok41iDkMDhrZo9Y" rel="noopener noreferrer"&gt;https://youtube.com/@kody66?si=Mok41iDkMDhrZo9Y&lt;/a&gt;)&lt;/p&gt;

&lt;p&gt;📊 Project Highlights&lt;br&gt;
Dataset: Netflix Shows &amp;amp; Movies Dataset (includes title, genre, ratings, release year, duration, etc.)&lt;/p&gt;

&lt;p&gt;Tools Used:&lt;br&gt;
✅ Pandas&lt;br&gt;
✅ Matplotlib&lt;br&gt;
✅ Seaborn&lt;br&gt;
✅ NumPy&lt;/p&gt;

&lt;p&gt;Key Concepts Covered:&lt;/p&gt;

&lt;p&gt;Data cleaning (nulls, duplicates)&lt;/p&gt;

&lt;p&gt;Filtering and grouping data&lt;/p&gt;

&lt;p&gt;Date/time operations&lt;/p&gt;

&lt;p&gt;Data visualization&lt;/p&gt;

&lt;p&gt;Finding trends in Netflix content&lt;/p&gt;

&lt;p&gt;🔥 Why This Project is Great for Beginners&lt;br&gt;
This project is structured in a way that every beginner can follow along and learn:&lt;/p&gt;

&lt;p&gt;It uses simple and clean code&lt;/p&gt;

&lt;p&gt;Every concept is explained step-by-step&lt;/p&gt;

&lt;p&gt;Visuals help make the analysis more intuitive&lt;/p&gt;

&lt;p&gt;And the dataset is fun to work with! (Who doesn’t love Netflix? 😄)&lt;/p&gt;

&lt;p&gt;🧠 Sample Questions We Answer in the Analysis:&lt;br&gt;
Which year had the most Netflix releases?&lt;/p&gt;

&lt;p&gt;Who are the top directors/producers?&lt;/p&gt;

&lt;p&gt;How has the genre distribution changed over time?&lt;/p&gt;

&lt;p&gt;What is the average duration of shows and movies?&lt;/p&gt;

&lt;p&gt;📁 Source Code &amp;amp; Dataset&lt;br&gt;
⚠️ I’ll be uploading the code and dataset on GitHub soon — stay tuned!&lt;br&gt;
(Or feel free to request it in the YouTube comments)&lt;/p&gt;

&lt;p&gt;💬 Conclusion&lt;br&gt;
If you’re starting your journey in Data Analysis with Python, this Netflix project is an excellent place to begin. It's practical, visual, and gives you the confidence to move on to more complex datasets.&lt;/p&gt;

&lt;p&gt;👉 Subscribe to my channel "KODY" for more beginner-friendly Python &amp;amp; Data Science content.&lt;/p&gt;

&lt;p&gt;Happy Coding! 🧑‍💻&lt;br&gt;
— Aryan&lt;/p&gt;

&lt;h1&gt;
  
  
  Python #DataScience #Netflix #Pandas #BeginnerProject #DataAnalysis #YouTubeTutorial
&lt;/h1&gt;

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