Machine learning using Python

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1. Module 2 - Data Structures in Python

1. Functions and Jupyter Installation.mp4

21:42

2. Lists in Python.mp4

20:15

3. Module 2, Session 3.mp4

16:20

2. Module 3 Numpy

1. Session 3 - Numpy Part 3.mp4

21:06

3. Module 4

1. Session 1 - Line Plots.mp4

19:56

4. Module 5 Pandas

1. Session1 - Series in Pandas.mp4

20:00

2. Session 2- DataFrames Part 1.mp4

21:28

3. Session 3 - DataFrames Part 2.mp4

17:04

4. Session 4- Index of DataFrame.mp4

03:41

5. Session 5- CSV File.mp4

10:24

6. Session 6- NaN Values.mp4

11:50

7. Session 7- Exercise.mp4

01:24

8. Session 8-Solution.mp4

13:27

9. Session 9 - EDA.mp4

18:34

5. Module 6 What is Linear Regression

1. Session 1 - What is Linear Regression.mp4

09:47

2. Session 2- Coding from scratch.mp4

12:17

3. Session 3 - Coding from scratch - Part 2.mp4

07:05

4. Session 4- Scratch vs Sklearn.mp4

15:40

5. Session 5 - Years vs Salary.mp4

20:51

6. Session 6- Accuracy and Plot.mp4

08:10

7. Session 7 - Joblib.mp4

17:13

6. Module 7 Basic Intuition on Logistic Regression

1. Session 1- Basic Intuition on Logistic Regression.mp4

07:27

2. Session 2 - Logistic Regression from Scratch Part 1.mp4

12:57

3. Session 2 - Logistic Regression from Scratch Part 2.mp4

15:16

4. Session 4 - Logistic Regression using Sklearn.mp4

09:11

5. Salary vs Exp.mp4

20:14

7. Module 8 KNN algorithm

1. Session 1 KNN algorithm.mp4

14:41

2. Session 2- KNN using Sklearn.mp4

18:35

3. Session 3 - Datasets Sklearn.mp4

07:45

4. Session 4 - Iris Dataset.mp4

03:45

5. Session 5- Iris Coding.mp4

09:29

6. Session 6- Visualization.mp4

05:21

7. Session 7- Prediction of values.mp4

09:10

8. Module 9

1. Session1- Images in Matplotlib.mp4

25:58

2. Session2 - Solution on Checkerboard.mp4

11:10

3. Session 3- Digits Classification.mp4

20:33

4. Session 4- What is SVM.mp4

12:15

5. Session 5- Coding SVM in Sklearn.mp4

11:17

9. Module 10

1. Session 1-What-is-Clustering.mp4

02:28

2. Session 2-Flowchart-of-KMeans.mp4

03:19

3. Session 3-Maths-behind-KMeans.mp4

06:05

4. Session 4 - CLustering in Sklearn.mp4

13:25

5. Session 5-Elbow-Method.mp4

09:18

6. Session 6 - Maths behind Elbow Method.mp4

12:08

7. Session 7-Market-Segmentation.mp4

01:15

8. Assignment 2 - Clustering Questions.mp4

00:41

9. Assignment 2 - Clustering Questions Answered.mp4

11:06

Description

A Self Learning Course

What You'll Learn?

Data Structures in Python
Basic Intuition on Logistic Regression
What is Linear Regression?
KNN algorithm
Numpy

Who is this for?

For Python Learners

More details

Description
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.

In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world.

Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!

About Us
Learntoupgrade is an online education platform providing rigorous industry-relevant programs designed and delivered in collaboration with world-class faculty and industry. Merging the latest technology, pedagogy, and services, Learntoupgrade is creating an immersive learning experience and getting you ready for the industry by empowering you with the latest skills and technology. We aim to bridge the gap between students and industry by helping students with virtual training classes, which they can access anytime from anywhere.

If you need any help. Please feel free to contact me with the complete issue details. I or our team will get to you back as soon as possible.

Hurry Up and don't waste this opportunity!
Who this course is for:
For Python Learners

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Learntoupgrade is an online education platform providing rigorous industry-relevant programs designed and delivered in collaboration with world-class faculty and industry. Merging the latest technology, pedagogy, and services, Learntoupgrade is creating an immersive learning experience and getting you ready for the industry by empowering you with the latest skills and technology. We aim to bridge the gap between students and industry by helping students with the virtual training classes,

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