📊 Data Wrangling Part 2- youtu.be/0in3wnxHz5s?si=10RD…
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Day 33/60—Python for Data Science 📊
Been working with a real epidemiological dataset, analyzed weekly case trends, visualizing outbreak patterns, and running a hypothesis test to compare suspected vs confirmed cases.
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Our III year B.Tech AI & DS students explored Exploratory Data Analysis (EDA) using Python 🐍📊 in an engaging one-credit course by Ms. Adhirai, Founder & MD of BIT, Pondicherry.
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After cleaning the data, I saved it into a structured CSV file.
Seeing raw HTML turn into a readable dataset = magic!
Proud to build useful data pipelines from scratch 🔁🧠
#100DaysOfCode #PythonForDataScience
Day 76 of #100DAYSOFCODE
Wrapped up my web scraping project today!
Finished extracting metascores, titles, and more from the site
Cleaned repetitive values
Stored the data neatly into a DataFrame
Exported the final cleaned dataset into a CSV file
#PythonForDataScience
From raw data to insights, faster than ever! Our web application is designed to streamline Python-powered analysis for professionals. Watch this space! #PythonForDataScience #DataAnalytics
Stay Tuned for Day 15 ⏳
Tomorrow, we’ll dive into how to work with CSV files—a fundamental skill for handling datasets. 📂
Let’s keep this challenge rolling! 🚀
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<3 Glad to help,
2️⃣ Pandas Functions: Preview Your Dataset
data.head() 📋: Get a sneak peek of your dataset in Jupyter Notebook. It shows the first 5 rows by default.
data.tail(): The opposite of .head(), this function displays the last 5 rows of your dataset.
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4-Week Python Learning Schedule for Data Science
Ready to dive into Python for Data Science? This 4-week schedule is designed to help you master Python basics and essential
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Python is the language that powers the data world.
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🐍 Python is perfect for Data Science with its easy learning curve, efficient memory management, and support for numerous analytics packages.
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10/ 🚀 Get Started: Dive into Python for data science with online courses, tutorials, and books. Platforms like Coursera, Udemy, and edX offer comprehensive resources. #Learning #PythonForDataScience
Take your skills to the next level and become a master of data science and machine learning with these essential Python libraries!
- NumPy
- Pandas
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
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topics that matter most to you. Can't wait to hear from you all!
Looking forward to diving into some exciting Python discussions with all of you! 😉🤗
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#PythonLearning #PythonCoding
#TheFutureIsPython
