Ansa Khalid

Building MLForge ⚡ | Sharing Python, ML & Data Science | Helping devs & students build ML projects faster

[Ansa Khalid @ansa_khalid01]

I used to waste 2 hours on ML project setup.

Now it takes 10 minutes.

Here's how. 🧵👇

[Ansa Khalid @ansa_khalid01]

ML project in reality: 📊🧹😭

"Why is there a N/A in my dataset? Who entered 'six hundred' in a numeric column?!"

80% data cleaning.
20% actual ML.

And we still love it. 🥲

Who else? Drop a 🙋

#MachineLearning #DataScience #MLProjects #DataCleaning #BuildInPublic #AI

[Ansa Khalid @ansa_khalid01]

@PythonDvz Output: ReferenceError: Cannot access 'a' before initialization
let a = 20 inside test() is hoisted but NOT initialized (Temporal Dead Zone).
So when console.log(a) runs, a exists but can't be accessed yet
Comment out let a = 20 or move it above the first console.log() to fix ✅

[Ansa Khalid @ansa_khalid01]

@SankalpWeb07 VS Code

[Ansa Khalid @ansa_khalid01]

@buildwithinno Currently building AI/ML tools with Python.
Working on making the repetitive parts of ML projects more structured, reusable, and easier to build.

[Ansa Khalid @ansa_khalid01]

@_VIDUSHI_SAINI @X Let's connect and grow together

[Ansa Khalid @ansa_khalid01]

@404not_utkarsh B. map() doesn't modify original array, it creates a new array with transformed values. Here each x is multiplied by 2, giving [2, 4, 6].

[Ansa Khalid @ansa_khalid01]

@iusmankh @X Always happy to connect. I’m especially interested in Frontend, AI/ML, Data Science. 🤝

[Ansa Khalid @ansa_khalid01]

@MaberFate Let's connect. I’m especially interested in Frontend, AI/ML, Data Science. 🤝

[Ansa Khalid @ansa_khalid01]

@Ujjawal03Singh @X Always happy to connect with people building and learning in tech! 👋
I’m especially interested in Frontend, AI/ML, Data Science.

[Ansa Khalid @ansa_khalid01]

@jan_programmer Hi! 👋🏻 I’m in tech as well. Would love to connect and grow together! 🚀
#LetsConnect

[Ansa Khalid @ansa_khalid01]

@PythonCrafted B) Greater

8 % 3 = 2, so the first condition is False.
Then 8 > 3 → True.
Output: Greater

[Angel Lamiya @LamiyaMst52292]

A Quice Guide To Regression Algorithms For Machine Learning.💥
Understand the most common regression algorithms at a glance.🪄

Follow me.

[Maya @mayaislam_ai]

AI isn’t one technology. 🤖
It’s an entire ecosystem:

Foundation → Data → Models → MLOps → Agents → Trust & Safety.

The future is AI that understands, decides & executes. ⚡

Save this roadmap 🔖
Follow @mayaislam_ai for more

[Ansa Khalid @ansa_khalid01]

@Hina_isb Given:
5(x-3) =20

Divide both sides by 5:
x-3=4

Add 3 to both sides:
x=7

[tut_ml @tut_ml]

Best Keras Courses- https://t.co/Y6ez3004is

[tut_ml @tut_ml]

Best Computer Vision Courses- https://t.co/Bpal9NxgH2

[Ansa Khalid @ansa_khalid01]

One thing I’ve learned from ML projects:

The model is only one part of the work.

A lot happens around it:
→ Data & preprocessing
→ Feature engineering
→ Model selection
→ Tuning
→ Evaluation
→ Reproducibility

A good ML workflow matters just as much as the model itself.

[Ansa Khalid @ansa_khalid01]

@ThePythonDailyz The step-by-step progression is what I like here. A lot of people jump straight into LLMs and agents without really understanding the fundamentals underneath them. Strong Python, ML and data foundations make the later steps much easier to build on.

[Ansa Khalid @ansa_khalid01]

@PythonDvz The “learn the right tools” part is so important. It’s easy to spend weeks collecting libraries and tutorials instead of actually building something. I’d take a smaller stack and a few real projects over trying to master everything at once.

[Ansa Khalid @ansa_khalid01]

@GithubProjects A lot of people get stuck trying to learn everything before building anything. Having a solid set of resources makes it much easier to learn by actually building projects.