
Rohit Pandey
@_itsrohitpandey
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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.
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RT @therahulogy: Goodbye ChatGPT Plus, hello Google Gemini (@GeminiApp)! 👋. For next 30 days, Gemini will be my only AI Assistant - will pu….
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RT @CombatTherapist: LETHAL GENTLEMAN BLEUPRINT. The rarest breed of man, is the one that can do it all. After over half a decade in the….
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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.
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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.
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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
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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.
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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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similar to MATLAB (google it!). Then there are 3 types of plots in Matplotlib but I don't want to bore you guys with more details. Tomorrow would be a field day and I wish for patience😮💨. #Python #programming #progress.
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Day 73 & 74 of #100DaysOfCode . So, for Data Visualization, Python provides a variety of libraries to visualize the data and I got into Matplotlib. It's the most popular #Python library for visualization, built on NumPy arrays, free and open-source library, supports wide.
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