Python, Machine Learning, and Data science Course

seeders: 39
leechers: 39
updated:
Added by tutsnode in Other > Tutorials

Download Fast Safe Anonymous
movies, software, shows...
  • Downloads: 51
  • Language: English

Files

Python Machine Learning and Data science Course 2023 [TutsNode.net] - Python Machine Learning and Data science Course 2023 3 - Machine Learning Introduction
  • 12 - Machine 2.mp4 (286.7 MB)
  • 14 - Machine 1.mp4 (192.1 MB)
  • 13 - Machine 3.mp4 (192.0 MB)
6 - Pandas for Data Science
  • 40 - Pandas 1.mp4 (193.9 MB)
  • 41 - Pandas 2.mp4 (163.9 MB)
  • 45 - Pandas 6.mp4 (125.9 MB)
  • 43 - Pandas 4.mp4 (85.8 MB)
  • 60 - Pandas 21.mp4 (76.6 MB)
  • 57 - Pandas 18.mp4 (68.5 MB)
  • 58 - Pandas 19.mp4 (67.5 MB)
  • 59 - Pandas 20.mp4 (66.4 MB)
  • 62 - Pandas 23.mp4 (65.8 MB)
  • 42 - Pandas 3.mp4 (63.1 MB)
  • 55 - Pandas 16.mp4 (52.7 MB)
  • 61 - Pandas 22.mp4 (48.7 MB)
  • 44 - Pandas 5.mp4 (45.3 MB)
  • 52 - Pandas 13.mp4 (45.0 MB)
  • 48 - Pandas 9.mp4 (44.7 MB)
  • 53 - Pandas 14.mp4 (42.7 MB)
  • 46 - Pandas 7.mp4 (39.3 MB)
  • 54 - Pandas 15.mp4 (37.3 MB)
  • 51 - Pandas 12.mp4 (36.2 MB)
  • 47 - Pandas 8.mp4 (35.9 MB)
  • 49 - Pandas 10.mp4 (31.5 MB)
  • 56 - Pandas 17.mp4 (28.6 MB)
  • 63 - Pandas 24.mp4 (27.2 MB)
  • 50 - Pandas 11.mp4 (26.0 MB)
  • 64 - Pandas 25.mp4 (22.1 MB)
4 - NumPy and Data Science
  • 18 - Numpy 4.mp4 (186.2 MB)
  • 17 - Numpy 3.mp4 (61.2 MB)
  • 26 - Numpy 12.mp4 (59.6 MB)
  • 27 - Numpy13.mp4 (57.4 MB)
  • 22 - Numpy 8.mp4 (45.9 MB)
  • 25 - Numpy 11.mp4 (45.9 MB)
  • 28 - Numpy 14.mp4 (42.6 MB)
  • 30 - Numpy 16.mp4 (36.5 MB)
  • 29 - Numpy 15.mp4 (35.9 MB)
  • 21 - Numpy 7.mp4 (35.6 MB)
  • 24 - Numpy 10.mp4 (32.7 MB)
  • 20 - Numpy 6.mp4 (29.4 MB)
  • 23 - Numpy 9.mp4 (24.6 MB)
  • 16 - Numpy 2.mp4 (21.2 MB)
  • 15 - Numpy 1.mp4 (21.2 MB)
  • 19 - Numpy 5.mp4 (18.0 MB)
5 - Machine Learning Models
  • 34 - Model 4.mp4 (77.3 MB)
  • 37 - Model 7.mp4 (76.2 MB)
  • 33 - Model 3.mp4 (74.6 MB)
  • 39 - Model 9.mp4 (68.0 MB)
  • 36 - Model 6.mp4 (64.2 MB)
  • 32 - Model 2.mp4 (62.9 MB)
  • 35 - Model 5.mp4 (60.9 MB)
  • 38 - Model 8.mp4 (45.9 MB)
  • 31 - Model 1.mp4 (43.7 MB)
2 - Introduction to Machine Learning Data Science and Python
  • 4 - What is Classification.mp4 (41.2 MB)
  • 9 - What is Regression.mp4 (38.2 MB)
  • 6 - Binary Classification.mp4 (23.4 MB)
  • 11 - Data Preprocessing in Python.mp4 (19.9 MB)
  • 2 - Classification of Supervised Machine Learning.mp4 (18.8 MB)
  • 7 - MultiClass Classification.mp4 (18.6 MB)
  • 8 - MultiLabeled Classification.mp4 (16.3 MB)
  • 3 - Supervised Machine Learning.mp4 (9.2 MB)
  • 10 - Simple Linear Regression.mp4 (6.4 MB)
  • 5 - Types of Classification.mp4 (4.5 MB)
1 - Introduction
  • 1 - Introduction.mp4 (32.5 MB)
  • TutsNode.net.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
  • .pad
    • 0 (344.2 KB)
    • 1 (55.5 KB)
    • 2 (959.0 KB)
    • 3 (977.0 KB)
    • 4 (821.7 KB)
    • 5 (145.3 KB)
    • 6 (130.4 KB)
    • 7 (175.1 KB)
    • 8 (688.4 KB)
    • 9 (435.0 KB)
    • 10 (807.6 KB)
    • 11 (373.8 KB)
    • 12 (484.9 KB)
    • 13 (12.1 KB)
    • 14 (562.2 KB)
    • 15 (576.9 KB)
    • 16 (199.5 KB)
    • 17 (821.8 KB)
    • 18 (877.8 KB)
    • 19 (70.0 KB)
    • 20 (801.5 KB)
    • 21 (88.1 KB)
    • 22 (458.4 KB)
    • 23 (566.6 KB)
    • 24 (297.2 KB)
    • 25 (298.2 KB)
    • 26 (122.1 KB)
    • 27 (124.8 KB)
    • 28 (143.3 KB)
    • 29 (675.1 KB)
    • 30 (983.7 KB)
    • 31 (282.5 KB)
    • 32 (283.9 KB)
    • 33 (269.8 KB)
    • 34 (399.9 KB)
    • 35 (816.6 KB)
    • 36 (763.4 KB)
    • 37 (812.2 KB)
    • 38 (743.4 KB)
    • 39 (498.4 KB)
    • 40 (776.0 KB)
    • 41 (75.3 KB)
    • 42 (115.9 KB)
    • 43 (359.2 KB)
    • 44 (328.1 KB)
    • 45 (477.0 KB)
    • 46 (466.5 KB)
    • 47 (563.9 KB)
    • 48 (426.2 KB)
    • 49 (792.9 KB)
    • 50 (986.3 KB)
    • 51 (447.5 KB)
    • 52 (593.8 KB)
    • 53 (940.3 KB)
    • 54 (848.4 KB)
    • 55 (848.5 KB)
    • 56 (152.0 KB)
    • 57 (228.3 KB)
    • 58 (377.9 KB)
    • 59 (39.9 KB)
    • 60 (761.7 KB)
    • 61 (825.4 KB)
    • 62 (587.5 KB)

Description


Description

< Step-by-step explanation of more than 1 hour of video lessons on Python, Machine Learning, and Data Science Course [2023]
<Instant reply to your questions asked during studies>
<Weekly live talks on Python, Machine Learning, and Data Science Course [2023]. You can raise your questions in a live session as well>
<Helping materials like notes, examples, and exercises>
<Solution of quizzes and assignments>

This course has been designed for Python, Machine Learning, and Data Science courses [2023]. The course has explained from basics of Python, Machine Learning, and Data Science Course [2023] and it finishes on a pro level. The real-life examples of Python, Machine Learning, and Data Science Courses [2023] have also been added to make the course valuable for learners.

What you will learn:

Machine Learning
Artificial Intelligence
Supervised Machine Learning
Supervised ML Model
What is Regression?
Simple LR
Multi-LR
Polynomial Regression
Model Development
Data Preprocessing
Regression Coding
Scikit Programming
Collection of Data
Splitting of Data
Poly-Scatter Plot
KNN-Model for SML
Decision Tree
Data Visualization for SML
Support Vector mechanics.
scatter Plots
Matplotlib Glitches
Colors in Scattering
Plot Vs Scatter Plot
Bar Plotting
Multiple Bar Plot
Stacked and Sub Plots
Histogram Plot
Data Set
Data Distribution
Allah Ditta is your lead instructor – a Ph.D. and lecturer making a living from teaching Supervised Machine Learning, and data science.

You’ll get excellent support and feedback to help you become more confident with data science!

We can’t wait to see you on the course!

Enroll now, and we’ll help you improve your data science skills!

AD Chauhdry

Tayyab Rashid
Who this course is for:

Those who want to learn machine learning, data science, and python

Requirements

Laptop, internet, pc, or smartphone

Last Updated 2/2023



Download torrent
3.7 GB
seeders:39
leechers:39
Python, Machine Learning, and Data science Course


Trackers

tracker name
udp://open.stealth.si:80/announce
udp://tracker.tiny-vps.com:6969/announce
udp://fasttracker.foreverpirates.co:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://explodie.org:6969/announce
udp://tracker.cyberia.is:6969/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.uw0.xyz:6969/announce
udp://opentracker.i2p.rocks:6969/announce
udp://tracker.birkenwald.de:6969/announce
udp://tracker.torrent.eu.org:451/announce
udp://tracker.moeking.me:6969/announce
udp://tracker.dler.org:6969/announce
udp://9.rarbg.me:2970/announce
µTorrent compatible trackers list

Download torrent
3.7 GB
seeders:39
leechers:39
Python, Machine Learning, and Data science Course


Torrent hash: 8A31F3E2FD190EEB0687023BD4A096A8CF73BE0F