#66daysofdata

If I had to learn data analysis with Python in 2023, here's how I would do it. Get ready to transform your data analysis skills with these highly recommended resources. #66DaysOfData 👇🏽🧵

Day 4 of #66DaysOfData Today I learned: Artificial Intelligence I explored the N-Queen Problem, where the goal is to place n queens on an n × n chessboard so that none can attack each other. Unlike the sliding tile puzzle, the objective is not to find a path to a solution, but to find one or more valid board configurations. This showed me how AI can represent a problem as a state space and systematically explore possible solutions.

We are starting a new experiment: a micro-teaching roadmap on #dataviz within the #66daysofdata challenge. Every day a short task to learn something new. It should take no longer than 15min per day. Who is with us? Stay tuned … till Sep 20th. #KNIME #DataScience #dashboard #data

Day 1 of #66DaysOfData Diving into CatBoost, which converts categorical predictors into continuous predictors instead of using one-hot encoding. These are my very raw notes so far...

Day 38 of #66DaysOfData with @KenJee_DS - Today also continued working on building models for the bioactivity dataset - Extending from yesterday, today I coded a summary of the averaged model performance (with error bars) for molecular fingerprints and machine learning algorithms

Day 59-66 R2 #66daysofdata this last week I was reviewing some old code to refactor, reviewing OOP in Python and continued reading SQL for Data Scientist. This round was kind of different, it wasn't as expected, but I learned and had fun and finally got a job as Data Analyst

Day 19 of #66daysofdata #Python pandas 🐍 I was finally able to read csv of pandas on google colab, I learnt that I will first add the file to google colab with: ---from google.colab import file uploaded=files.upload() #BlackTechTwitter

Day 32 of #66daysofdata — Read two articles shared by @GivlerRay on naming variables in coding. It’s probably best to find a happy medium, where the code is simple enough to scan, but descriptive enough to easily interpret.

Day 58 of #66DaysOfData Day 11 of UMAP. Here's the main algorithm behind t-SNE, LargeVis and UMAP, with a few notes on key differences. BAM! (1 of 13 panels!!!!)

Hi friends, the first episode of the @Matplotlib tutorial series kicks off with How to make Histogram plots. Tried to make this as comprehensive as possible. Hope you like it. #66daysofdata #histogram #dataviz #datavis #datascience #python #dataanalytics #matplotlib #data

Day 1 #66daysofdata Signed up on @kaggle, started the first lesson of Python and ran my first few codes in Kaggle Notebooks🥳 So glad i found this challenge, I’m excited for the next 65 days! @KenJee_DS

Day 1 of #66daysofdata with @KenJee_DS 🤔 Taking it easy by considering topics to explore in Round 2. 👇 Here are topics that I'll be exploring: - Basic #statistics - #MachineLearning - Data wrangling with #pandas - @Streamlit apps - #Bioinformatics use cases + datasets

Day 11 of #66DaysOfData Day 1 of Shapley Values. One step towards explaining machine learning results is calculating Shapley Values. This is the most basic example I could think of (psst! tomorrow we'll build on it). #BAM

Hi friends, I've finally finished the Medium blog on mastering #pandas for #DataScience #66daysofdata #100daysofcode #datawrangling #datascientist

Day 3 of #100DaysOfCode & #66daysofdata - Scraped my own Twitter profile and created a dataset to check when is the best time to post for me (code reveal soon) - Completed and uploaded my simple LSTM stock pred model - code available on my Github:

I will be starting my Round 4 of the #66DaysOfData on January 4th! I hope many of you will join me on this journey! I'm in the process of creating a new course on machine learning algorithms with @jeffmli. I will be using this round to research and create it!

Day 1 of #66DaysOfData! To keep it beginner friendly, I will start with some of the python concepts! I will be focusing on: - Functions, loops, variables, logic - Data structures (lists, dictionaries, etc) - Better understanding how packages work (resources in reply)

1/ Large collection of #coding and #machinelearning related videos from code(dot)org 👇 See thread 👇 #66daysofdata #100daysofcode

1/ #Python Libraries for #datascience 👇See thread below👇 #66daysofdata #100daysofdata

Day 20: Working on a dashboard to practice visual communication skills. Hoping to enhance my audiences understanding of the data more than if they hadn’t seen the visuals and make complex relationships easier to see. #100DaysOfCode #66DaysOfData #DataVisualization #DataScience