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We only remember the highs & the lows. The balance, everyone is trying so hard to achieve, doesn't exist (In my view). It's either going all in to WIN or LOSE in the process—no middle ground.
Hello @nitin_gadkari @HardeepSPuri ji, According to manual of the car that I purchased in 2021, I should not use petrol with more than 10% Ethanol. It also recommend switching to ethanol free petrol if there are drivability or fuel economy issues. Where can I get this fuel?
Goodbye ChatGPT Plus, hello Google Gemini (@GeminiApp)! 👋 For next 30 days, Gemini will be my only AI Assistant - will push its limits to see if it is really worth it!! Let's see what surprises it holds! Follow this thread 🧵for updates 👇
LETHAL GENTLEMAN BLEUPRINT The rarest breed of man, is the one that can do it all. After over half a decade in the injury & high performance field, I am yet to find aspiration targets for men to strive towards. I have collected 8 categories after extensive research into tier…
Just another day, Started with getting punched 🥊 on the liver... Good morning!! 🌄
Do favors for your future self!! Make your bed, clean your room, read that book, wash those clothes already, exercise... Do yourself a favor.🤞🏻
Being mature need not mean being dry. Protect your enthusiasm!!
Question to the guys who don't rerack their weights in the gym. Are you gay??
💯 👇
Whatever speaking can't solve, exercise can solve, whatever exercise can't solve, creativity can solve, and whatever creativity cannot solve, violence can. If talking doesn't work, get in your body. If moving doesn't work, artistically express, and if that fails punch something.
There are somethings that we seek, then there are somethings that seek as. Which is worth going after?
Day 80 of #100DaysOfCode Main Topic: Data Preprocessing Sub-topics covered: 🔸Functions for Data Cleaning [df.str.replace(), .set_index(), .str.split()] 🔸Data Normalization and Scaling📷 🔸Data Transformation 🔸Feature Engineering #buildingpublic #DataScience
Day 78 & 79 of #100DaysOfCode Main Topic: Data Preprocessing Sub-topics covered: 🔸Dealing with Duplicates 🔸Missing Data and Dealing with Missing Values 🔸Outlier, How to identify outliers, Dealing with outliers 🔸Dealing with categorical data #DataScience #Python #learning
Day 77 of #100DaysOfCode Main Topic: Data Pre-processing Sub-topics covered: 1. Skewness & Kurtosis 2. Correlation & Covariance 3. Univariate & Bivariate Analysis For the record, I was enjoying learning frontend, #DataScience? I don't think so. #LearningJourney #buildinpublic
Day 76 of #100DaysOfCode Main topic: Data Pre-processing Sub-topics covered: 1. Types of Variables (Quantitative & Qualitative) 2. Measures of Central Tendency (Mean, Median, Mode) 3. Measures of Dispersion (Variance, Standard Deviation, Range, etc.) #Python #DataScience
Day 75 of #100DaysOfCode So, yesterday I got into Data Preprocessing as it is important bcuz 70% of the time goes into preprocessing and preparing the data for model building. And with that, I learned about the EDA (Exploratory Data Analysis) and why it's done.
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