Complete Machine Learning Full Course 2025 for Everybody | All Machine Learning Algorithms | Python

Welcome to the Ultimate Machine Learning Crash Course for Data Analysts, Data Scientists and AI/ML Engineer.
Looking to learn machine learning from scratch without getting lost in equations and theory? This FREE crash course is designed for data analysts, data scientists, and beginners who want to master real-world ML algorithms and implement them in Python step-by-step.
Whether you're preparing for a job interview, building a portfolio, or upgrading your skills this course is all you need.

🔍 What You'll Learn in This Video:
02:04 What is Machine Learning?
13:29 Machine Learning Lifecycle | Machine Learning Pipeline
19:17 Feature Engineering
28:22 Feature Transformation | Feature Encoding
44:03 Feature Scaling
54:24 Feature Extraction
1:03:44 Regression Algorithm
1:10:26 Linear Regression
1:23:15 Polynomial Regression
1:28:23 Regularization | L1 and L2 Regularization | Elasticnet Regularization
1:42:52 Classification Algorithm
1:48:29 Logistic Regression
1:56:44 Decision Tree Algorithm
2:20:52 Support Vector Machine
2:38:07 K Nearest Neighbors
2:51:33 Classification Implementation using Python
3:03:53 Bias Variance Tradeoff
3:15:57 Bagging and Boosting | Ensemble Model | Random Forest | XGBoost
3:31:19 Clustering Algorithm
3:50:51 K Means Clustering
4:00:32 DBSCAN Clustering | HDBSCAN
4:09:44 Clustering using Python
4:14:17 Principal Component Analysis
4:27:11 Feature Selection
4:50:26 Hyperparameter Tuning | GridSearchCV | Cross Validation

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Follow me on:

#machinelearning

[ndhakal]

One of the best teaching sites 💝
One of the best class to take in ML 🙏🏻🙏🏻
Slow pace hand written detail description : the best part of it 🙏🏻🙏🏻

[surajshahshorts_]

Ayushi teaching skills 😎😎😎, i downloaded this video, maybe in future this video will change

[amankharwar]

Thank you so much mam, Really needed this video🙏♥️

[musicallokesh]

Fantastic Video Course Mam, just loved the concept teaching, coding part, overall teaching, everything is just Amazing. Thank you very much mam, loved the video mam. Keep Growing, Keep Uploading, Keep Spreading Knowledge. 😍❤💯
🔥

Also, mam, please make a Crash Course on SQL as well. I am not able to learn it that effectively, will be waiting for that Course too.

[OmkarRaktate]

This video is amazing 😍 thanks a lot mam

[satviksharma]

your tutorials are engaging and hepful

[sahilwankhede]

Thank you very much for this video and you are helping a lot s aspirants like me keep doing

[GauswamiOmpuri]

गुरु ब्रह्मा, गुरु विष्णु, गुरु देवो महेश्वरः।
गुरुः साक्षात् परब्रह्म, तस्मै श्री गुरवे नमः॥...🥹🙌..jay shree ram 🕉 🧡 Samb sada shiv 🧡radhe radhe 🧡

[Manpreetsingh-glkz]

Your content is really very good, simple and understandable. Kindly also make a free course on deep learning where you can explain neural networks and its types like CNN, RNN and LSTM's and further proceed to LLM's, transformers, NLP and computer vision. In this way you can cover all the topics of AI and data science and help the AI and data science students to get a quality content for better understanding

[WhShu_Sayz]

Thanks ma'am this course is really help full, also i visted your older videos on gen ai and prompt engineering that was really awesome . Really you are an underrated Tech - Teacher.

If you dont mind Can i know your name


It would be great for me to get reply from you ma'am'❤

[yuvrajpagare]

Its a great video i am getting interested in this field and understanding esiliye....❤
Can you make one more video on sql for data analytics and data science to getting job perspective.
If you can im very thankful you

[snehasis]

Mam one video on deep learning and nlp also please

[Learningwithbenefits]

Mdm pls practical projects pr videos bna lo ki kaisy step by step solve hoty hy real world problems

[ShubhamPatil-fnxr]

Hey
in this playlist are you going to explain confusion matrix, recall, ..
and case studies?

[jaysiagrahari]

Hii Ayushi Mam,
Can you please make a video on end to end project based on machine learning so that we can know how to implement these learning.

[ShivamGhodekar]

Hello Mam, please provide both theoretical and practical knowledge so that the concepts become clearer. I started watching the video on Statistics, but after a while, I got bored due to the lack of practical examples. Therefore, I believe you should include both theoretical and practical explanations to make the concepts easier to understand.

[mrinmoynanda]

Truly grateful for this comprehensive ML coverage 🙌
You made complex topics so easy to understand 👏
Would love to see similar series on Deep Learning, NLP and other Data Science tools 🧠
Looking forward to learn more from you 🚀
Much appreciated !.... ❤

[ENCSAP]

This is what I want, someone teach me like hometutor in my native language.
I am preparing for interview for ML role which is on 5th july, let see if I crack it or not.

[mohammademrulhassanemon]

Hi greeat work but could. you kindly do Live session on youtube pls? so everyone can interact in 'real time' learning it''ll be more productive n helpful heheh! By the way, you're amazing n soo talented good looking women, cheers :)

[AnalystWallah]

Ma'am,

Even after completing a Data Analyst course, I’ve realized that while I’ve covered the basics — like Excel, SQL, Power BI, and Python — I’m still far from being truly job-ready. The gap between learning tools and actually applying them in real-world, interview-ready scenarios feels wide.

That’s why I strongly recommend launching a Job-Ready Data Analyst Bootcamp — not starting from scratch, but focusing on what really makes a difference:

Advanced lectures and hands-on projects to simulate real business problems

Guided resume building to help us stand out

Mock interviews and preparation support to improve confidence

Job referrals and placement assistance to bridge the final gap


To maintain seriousness and filter committed candidates, an entrance test could be added — helping students like me, who are willing to put in the effort, get proper direction and industry-ready skills.

Ma’am, your content is already transforming careers. But a structured, high-impact bootcamp would give aspiring analysts like me a focused pathway to break into the industry. We don’t need more theory — we need direction, feedback, real-world practice, and placement support.