AI with AI

Imagine trying to make sense of a dataset with hundreds or even thousands of features.
It's overwhelming, like seeing a huge, tangled ball of yarn!
That's where Principal Component Analysis, or PCA, comes to the rescue.
PCA is like a pair of magical scissors that can cut through the complexity and reveal the hidden patterns in your data.

Watch video to learn in detail about, What is Dimensionality Reduction using PCA?

1 year ago | [YT] | 2

AI with AI

Feature engineering is the secret sauce that turns raw data into the fuel your models crave. It's the art of crafting those informative and impactful features that make all the difference!

Why is Feature Engineering Crucial?

Better Model Performance: The right features lead to smarter models and more accurate predictions.
Smaller Datasets: Clever features can let you get awesome results with less data.
Simpler Models: Well-engineered features can sometimes ease the need for super complex models.

To learn each technique check out our Feature Engineering Playlist:
www.youtube.com/playlist?list...

1 year ago | [YT] | 1

AI with AI

Do you remember, Viral video generated by AI an year before?
will smith eating spaghetti pasta, yes you remember right.
and we all laughed at it, thinking AI is still far from making things practical and a reality.
Now check these out, can you belive these videos are generated by AI. (These are screenshots of video generated by Sora)
Yes, that's sora openAI's new text to video generation model that's blowing up the internet.
SORA's realism is on another level, making it hard to tell it's AI-generated.
It's only been a year, but the difference is night and day.
Watch this video to learn more about Sora:
https://youtu.be/6xmSh1_BWMg?si=jovwN...

Skip the Carousel

1 2 3 4

1 year ago | [YT] | 3

AI with AI

Imagine an AI that can write your next viral song,
translate your awkward Tinder messages into smooth French language, generate image for you and even code the app of your dreams.
Sounds like sci-fi, right? Well, Google's Advanced Gemini is making it reality!
Remember that AI revolution we've all been talking about? Well, it's officially happening with Gemini.
But what makes it so different from all the other AI assistants out there?

Watch video to learn:
How I'm using gemini to generate a real time image, describe awkward image, compose a song, and a write blog and also to write a code to create a game and whats Not!!!

1 year ago | [YT] | 3

AI with AI

Feature Transformation is a crucial step in the machine learning pipeline
where we manipulate or modify our data features to improve the performance of our models.

Feature transformation is a mathematical transformation in which we apply a mathematical formula
to a particular column(feature) and transform the values which are useful for our further analysis.
Feature transformation is a technique by which we can boost our model performance.

Watch video to get basic understanding of What and Why Feature Transformation?

1 year ago | [YT] | 4

AI with AI

As we know, Machines do not understand characters i.e. categorical data.
Then how do we work with categorical data, which should make sanse and model should also understand.
The process of converting categorical data into integer format which improves model's predictions.

This detailed video explains:


1. How to perform Categorical Encoding?
2. One hot Encoding and Ordinal Encoding
3. Understand their impact on the machine learning model

1 year ago | [YT] | 3

AI with AI

The process of replacing missing data with statistical estimates of the missing values is known as imputation.
It's often said that good features are what make or break a model's performance.

We've started a new series, a playlist of videos to understand everything about Feature Engineering.
This video part 3 in the series talks about:

How to perform data cleaning and different imputation techniques practically.
Understand their impact on machine learning model.
How to Implement them using pandas and scikit-learn.

Watch out to learn in details.

1 year ago | [YT] | 3

AI with AI

How will I learn Data Science in 2024? if I've to start over...

Data science intersects accros all the field in AI.
To learn AI, or to become Machine Learning engineer or even to learn general AI(AGI) you need to
have good knowledge of Data Science.

1 - Foundation in Mathematics: Statistics, Probability, Linear Algebra, Calculus etc.
2 - Programming Skills: Python or R
3 - Data Analysis and Visualization: Python lib. such as Pandas, NumPy, Matplotlib, Seaborn etc.
4 - Machine Learning Fundamentals: Supervised and Unsupervised Learning.
5 - Deep Learning and General AI: Neural networks, CNN, RNN, NLP, LLM etc.
6 - Real-World Projects and Case Studies: Practicing from kaggle.com
7 - Soft Skills and Domain Knowledge: Communication, Problem-Solving, Domain Expertise etc.

All the free learning resources and detailed video below.

1 year ago | [YT] | 3

AI with AI

If I have to start learning AI in 2024 from basics, How will I learn and what is the RoadMap?

One of the most controversial question that I get, Will AI take our Jobs ?
I think yes eventually in coming years but the last job that AI will take over is the one who is
building AI or for that matter using AI to do smart work.

And If you are planning to learn AI this video will give you all the answers with the learning links !!!

1 year ago (edited) | [YT] | 4

AI with AI

Google Gemini, the game-changer that understands not just your words, but the world around you.

Forget text-only AI assistants, Gemini SEES, HEARS, and UNDERSTANDS the whole picture.

I had chance to see how it works and I was Surprised by some of responses,
In the video below, I've shown how to use gemini for images, for videos, for research, for math equations and importantly Gemini also help us write, understand and even find bugs in the code.



Do you think Gemini will overtake ChatGPT?

1 year ago | [YT] | 3