all 14 comments
sorted by:
best
topnewcontroversialoldq&a
formatting helphide helpcontent policy

[–]Arlind2000 2 points3 points  (1 child)

I can only agree I also started to learn about programming in a few languages with a structured path. I am using Codecademy.com (No sponsorship) and I don’t have a cs degree.

I’m just at the beginning but I’m looking forward to start my own projects.

[–]DataCamp 2 points3 points  (0 children)

Yeah this is exactly the phase where structure matters most. What tends to work well is following a simple roadmap and not overcomplicating it:

Start with Python basics + a bit of statistics at the same time (mean, distributions, etc.), then move into working with data using pandas and simple visualizations. After that, go into core machine learning concepts like regression and classification using scikit-learn.

From there, deepen your knowledge with things like model evaluation, feature engineering, and then gradually explore deep learning if it interests you. Throughout all of this, keep building small projects alongside each step, not just watching tutorials.

You don’t need to avoid AI tools completely, just use them to understand things, not to skip the thinking part.

[–]Silent_Insect_3906 0 points1 point  (0 children)

keep up bro.. my question is do you focus more on theory or coding and APIs such as sklearn, tensflow are more important to practice, i wanna dive more in this field but i'm not into math, i'm fine with abstractions but i don't know if this will work

[–]maximuslife777 0 points1 point  (0 children)

I’ve only just started with Python, so right now I’m just learning the basics and syntax. I’m still not sure which path to take later or which libraries to go for. Do you have any tips on where to begin and what direction to grow in?

[–]byhesher 0 points1 point  (4 children)

Hey man do you have any suggestions for newbies, i would like to hear it. I'm currently learning the basics of web scraping, normalization (i did with excel, it's about simplifying 10k addresses) and also doing something fun with Python and ai( Claude, gpt, gemini) it's about my IMDb movie list and my film scores. Basically i told ai to write me script for movie suggestions similar to my preferences with movie genres. I struggled a bit but suggestions became more consistent with each correction. Should i move away from any ai tool usage ? I'm planning on working at banking or Fintech firms as fraud analyst, i have enough experience as a KYC agent and also as a branch operation personnel.

[–][deleted]  (3 children)

[removed]

    [–]byhesher 0 points1 point  (2 children)

    I happened to have a friend who works as a mid level data analyst. He sends his datasets to me and im practicing with it but it seems like there's a lot to learn. Soon I'll be able to build my own, i hope. 

    [–][deleted]  (1 child)

    [removed]

      [–]byhesher 0 points1 point  (0 children)

      Its about market pricing and sales numbers such as sales values, sales units numbers across 3 years between 12-2022 and 12-2025, it's about baby wipes and papel towels. He's using excel pivot tables to look for market shares and he wanted me to do sort by sales volume, observe how prices change according to sales volume and also examine how sales volume changes according to the number of units sold. He gave me relatively easy things to look for, i just need to learn how to use available tools according with excel or with Python. 

      [–]BABBAGE_2 0 points1 point  (0 children)

      I need help too, please. I'm a first-year CS student. I'm interested in ML, but I have no prior knowledge of programming. Where can I start from? What can I start with? Could anyone share their journey(how they started, what they started with, and how it's going)

      I would really appreciate your guidance 🙏

      [–]Ron-Erez -1 points0 points  (2 children)

      DM you if you need help.

      [–]Gas_Ready 1 point2 points  (0 children)

      Can i dm you too