ItsIrene

It was a great journey in the Python. Good course, good teacher! #100daysofcoding

Day 100/100 🥳🥳🥳 Space_Missions_Analysis

Day 85-99 / 100 GUI Game Web Development GUI Desktop App HTTPs Request API Automation

Day 82, 83, 84 / 100 Building a Professional portfolio Scripting (Tic Tak Toe game)

@_NitindeepSingh Nice! Real-time stuff is super fun to work with. Curious to see what you end up building

Day 8/100 of #100DaysOfCode Started diving into Socket.IO today 🧠⚡ Real-time communication feels like magic from chat apps to live dashboards, it’s all making sense now. Excited to build something real-time 🚀 #WebSockets #NodeJS #JavaScript #DevJourney

@KrishPuri584446 That moment when your data says 'I'm not linear' and poly regression says 'I got you!' Definitely a game-changer for complex trends. Keep it up!

Learned Polynomial Regression today! It extends linear regression by adding higher-degree terms (x², x³…) to model non-linear patterns. Great for curved data like real estate pricing! When a straight line just won’t cut it ✅ #ML #AI #DataScience #100DaysOfCode #BuildInPublic

Day 81/100 How to quickly spot relationships in a dataset using Seaborn's .pairplot(). How to split the data into a training and testing dataset to better evaluate a model's performance. How to run a multivariable regression. How to evaluate that regression-based.. #100daysofcode

Day 80/100 How to use histograms to visualise distributions How to superimpose histograms on top of each other even when the data series have different length How to use a to smooth out kinks in a histogram and visualise a distribution with Kernel Density Estimate (KDE) #python

Day 79/100 how to: Create a Choropleth to display data on a map. Create charts showing different segments of the data with plotly. Create Sunburst charts with #plotly. Use Seaborn's .lmplot() and show best-fit lines across multiple categories using the row, hue. #100DaysOfCode

Day 78/100 Use nested loops to remove unwanted characters from multiple col Create bubble charts using the #Seaborn Library Use Seaborn to superimpose a #linear_regression How well the model fits thedata and the r-sq. metric #scikit_learn and calculate the coefficients. #Python

Day 77/100 😃 I looked at how to: Create arrays with np.array() Generate arrays using  .arange(), .random(), and .linspace() Analyse the shape and dim. of a ndarray Slice and subset a ndarray based on its indices Do linear algebra like operations with scalars and matrix mult.

@Bhoomi2424 Good luck

Day 76/100 #pythonfest Pull a random sample from a DataFrame using .sample() How to find duplicate entries with .duplicated() and .drop_duplicates() How to convert string and object data types into numbers with .to_numeric() How to use plotly to generate beautiful pie, donut

Day 75/100: How to use .describe() to quickly see descriptive statistics at a glance. How to use .resample() to make a time-series data comparable to another by changing the periodicity. How to work with .dates Locators .isna().values.sum() .grid() #100DaysOfCode #Python

Day 74/100 is completed: How to combine a Notebook with HTML Markup. How to aggregate data using the .agg() function. How to create scatter plots, bar charts, and line charts with two axes in Matplotlib. Understand database schemas #100DaysOfCode #python #followback

@vikramtechwala @tech_nishan001 @cobrasec1337 @devxshubh @Horton_A7 @kanavwastaken @Sigmabond01 @Priyanshh_9 @Pratikwebtech @kushalsharma33 Thank you!

@tech_nishan001 @cobrasec1337 @devxshubh @Horton_A7 @ItsIreneBio @kanavwastaken @Sigmabond01 @Priyanshh_9 @Pratikwebtech @kushalsharma33 great job keep going

💻 Backend Dev — Day 11 Diving deep into the API world! 🌐 ✅ Mastered REST API routes (GET, POST, PATCH, DELETE) ✅ Explored X (Twitter) API v2 🔍 ✅ Learned top API design practices Building clean, scalable backends one day at a time. 🚀

Day 73/100 📈📉📊 - Data Visualization with Matplotlib - Data Cleaning: Working with Time Stamps - Data Manipulation: Pivoting DataFrames - Data Visualisation with Matplotlib - Smoothing out Time-Series Data #100DaysOfCode #python #matplotlib #pythonprogramming

Day 72/100 🐼🐼🐼 - Data exploration with Pandas - Getting Set Up for Data Science - Preliminary Data Exploration and Data Cleaning with Pandas - Sorting Values & Adding Columns: Majors with the Most Potential vs Lowest Risk - Grouping and Pivoting Data #100daysofcode #python

Day 71/100 🙂 - Learn to Deploy A Website #100DaysOfCode #Python

@_shr_3110 Yeap

@ItsIreneBio doing this course on Udemy ?

Day 67/100 is done - Blog Capstone Project #100DaysOfCode #python