Machine Learning With Python Full Course 2023 | Machine Learning Tutorial for Beginners| Simplilearn
September 5, 2024 2024-09-05 17:03Machine Learning With Python Full Course 2023 | Machine Learning Tutorial for Beginners| Simplilearn
Machine Learning With Python Full Course 2023 | Machine Learning Tutorial for Beginners| Simplilearn
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In this video on Machine Learning with Python full course, you will understand the basics of machine learning and Python. In this Machine Learning tutorial for beginners, we will cover essential machine learning topics like applications of machine learning and machine learning concepts and understand why mathematics, statistics, and linear algebra are crucial. We’ll also learn about regularization, dimensionality reduction, and PCA. We will perform a prediction analysis on the recently held US Elections. Finally, you will study the Machine Learning roadmap. Below are the topics covered in this video:
00:00:00 Machine Learning With Python Full Course 2023
00:08:36 Introduction to Machine Learning
00:16:14 Top 10 Applications of Machine Learning
00:32:38 Types of Machine Learning
00:37:46 Machine Learning Algorithms
00:38:14 Linear Regression
00:46:52 Decision Tree
01:23:25 Clustering
01:26:11 K-Means Clustering
02:18:03 Data and its types
03:29:22 Probability
04:07:53 Multiple Linear Regression
04:45:55 Confusion Matrices
05:59:54 KNN
06:23:40 Support Vector Machine
07:14:40 Principle Component Analysis(PCA)
07:53:01 Corona Virus Analysis
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Dataset Link -https://drive.google.com/drive/folders/15lSrc4176J9z9_3WZo_b91BaNfItc2s0
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Comments (25)
@SimplilearnOfficial
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@tron6694
for K-means clusterin i should be in range of 1,10 not 0,10
@behradbinaei7428
Thanks for your great course. Is the slides of this course available to download?
@lordphemstar
Very great job you have done to this tutorials, I must say and it's very understandable than my lecture's teachings in the class room… Thank you so much am not taking it for granted as you have rescued my career with this great favor….
Please can I get the link to ALL the SLIDES USED IN THIS LECTURE?
@user-tr3tb3ld2b
X = X.convert_objects(convert_numeric = True), i tried using this syntax to covert my object types to numerics yet i am getting errors in the car.csv dataset
@teachersarah8110
Thanks a. Lot
@Ahmad-bg1vw
How do I learn artificial intelligence?
I am currently studying as an information engineer? I am from Syrian
@k.h.p.9862
Thank you.
@SeamlessSolutions
Thanks ❤❤❤
@amahrizal
Many many thanks
@aminedahane5874
thanks for this great effort.
@gautamkumar-ot9lc
When and how I can get the certificate of completion, do I need to complete the course on Simplilearn platform? or the you tube videos by Simplilearn? Please suggest.
@user-te3bi6th8n
Do i need to learn scikit learn for this
@lotheru9054
Could you drop answers to the quiz at 14:20? In my opinion its:
1. Supervised learning
2. Unsupervised learning
3. Unsupervised learning
I really want to know if I am right 😀
@user-xf6el7os5q
Great job. Pls I am requesting for the dataset used for linear regression.
@shraddhasahu6566
1. reinforcement
2. supervised
3. unsupervised
@pegasusdavid1382
Really useful. Altough didnt find the csv document called "heart.csv"
@bhagyalakshmi1053
In put who to reaching
@futuregeneration3687
is this beginner friendly?
@airiusadam2889
It's actually only 8.5 hrs though
@carolsam67able
Superb Course
@prakashv104
Thanks for your knowledge sharing sir. Required reinforcement learning. I hv subscribed just now.
@shahwaiztahir9743
This is great. please make advance course of ML and make some good projects like spam etc.
@MaskedJet_Rush
Thanks for doing this…
@simonyeka51
Hi, i want to request for the datasets used in the course