@DeepLearning_AI channel is moved to 👇👇👇
Join us: https://t.me/MachineLearning_DeepLearning_ai
Connect our channel and enjoy latest AI news, courses, books, source codes and so on..
channel description are given below:
Join us: @MachineLearning_DeepLearning_ai
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
* Related Courses and Ebooks
Join us: https://t.me/MachineLearning_DeepLearning_ai
Connect our channel and enjoy latest AI news, courses, books, source codes and so on..
channel description are given below:
Join us: @MachineLearning_DeepLearning_ai
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
* Related Courses and Ebooks
Here's 7 statistical & machine learning concepts that you should know for #DataScience:
Join: https://t.me/ComputerScience_MachineLearning
Join: https://t.me/DeepLearning_ai
Join: https://www.facebook.com/groups/MachineLearningSource/
1. Tree Based Methods
a. Decision Trees - https://lnkd.in/gBtCk9G
b. Random Forest - https://lnkd.in/g9FkczK
c. Gradient Boosting Trees - https://lnkd.in/gFPFGsk
2. Linear (Regularized) Models
a. Lasso & Ridge - https://lnkd.in/g3dJT-g
b. Linear Regression - https://lnkd.in/g7AS6Ar
c. Logistic Regression - https://lnkd.in/gq4EyJc
3. Hypothesis Testing & confidence
a. A/B Testing - https://lnkd.in/gmeijHV
b. Chi Square Test - https://lnkd.in/gG6vz2T
c. Statistical Tests - https://lnkd.in/gJcfTsq
4. Resampling Methods
a. Bootstrapping and Bagging - https://lnkd.in/gPmm4by
b. Cross Validation - https://lnkd.in/gsfsE6y
5. Clustering K-means
https://lnkd.in/gvNsp8N
6. Feature Selection
https://lnkd.in/gdCBWpB
7. Evaluation Metrics
a. Classification Metrics - https://lnkd.in/gxeyC6n
b. Regression Metrics - https://lnkd.in/gj4Eg9p
Join: https://t.me/ComputerScience_MachineLearning
Join: https://t.me/DeepLearning_ai
Join: https://www.facebook.com/groups/MachineLearningSource/
1. Tree Based Methods
a. Decision Trees - https://lnkd.in/gBtCk9G
b. Random Forest - https://lnkd.in/g9FkczK
c. Gradient Boosting Trees - https://lnkd.in/gFPFGsk
2. Linear (Regularized) Models
a. Lasso & Ridge - https://lnkd.in/g3dJT-g
b. Linear Regression - https://lnkd.in/g7AS6Ar
c. Logistic Regression - https://lnkd.in/gq4EyJc
3. Hypothesis Testing & confidence
a. A/B Testing - https://lnkd.in/gmeijHV
b. Chi Square Test - https://lnkd.in/gG6vz2T
c. Statistical Tests - https://lnkd.in/gJcfTsq
4. Resampling Methods
a. Bootstrapping and Bagging - https://lnkd.in/gPmm4by
b. Cross Validation - https://lnkd.in/gsfsE6y
5. Clustering K-means
https://lnkd.in/gvNsp8N
6. Feature Selection
https://lnkd.in/gdCBWpB
7. Evaluation Metrics
a. Classification Metrics - https://lnkd.in/gxeyC6n
b. Regression Metrics - https://lnkd.in/gj4Eg9p
Here are 450 Ivy League courses you can take online right now for free.
The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania.
1.Join 👉@MachineLearning_DeepLearning_ai
2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/
The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania.
1.Join 👉@MachineLearning_DeepLearning_ai
2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/
freeCodeCamp.org
Here are 450 Ivy League courses you can take online right now for free
By Dhawal Shah The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania. All eight schools place...
8 Great Websites to Learn New Tech Skills During the Covid-19 Pandemic
1.Join 👉@MachineLearning_DeepLearning_ai
2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://medium.com/better-programming/7-great-websites-to-learn-new-tech-skills-c36f39de55b9
1.Join 👉@MachineLearning_DeepLearning_ai
2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://medium.com/better-programming/7-great-websites-to-learn-new-tech-skills-c36f39de55b9
Medium
8+ Great Websites to Learn New Tech Skills During the Covid-19 Pandemic
If we’re stuck at home, we may as well be productive
Python Image Processing Tutorial (Using OpenCV)
In this tutorial, you will learn how you can process images in Python using the OpenCV library.
OpenCV is a free open source library used in real-time image processing. It’s used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. Before getting started, let’s install OpenCV.
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://likegeeks.com/python-image-processing/
In this tutorial, you will learn how you can process images in Python using the OpenCV library.
OpenCV is a free open source library used in real-time image processing. It’s used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. Before getting started, let’s install OpenCV.
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://likegeeks.com/python-image-processing/
Like Geeks
Python Image Processing Tutorial (Using OpenCV)
Learn how to process images using Python OpenCV library such as crop, resize, rotate, apply a mask, convert to grayscale, reduce noise and much more.
Top 10 Elon Musk Productivity Secrets for Insane Success
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://medium.com/swlh/top-10-elon-musk-productivity-secrets-for-insane-success-dae584c88e03
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://medium.com/swlh/top-10-elon-musk-productivity-secrets-for-insane-success-dae584c88e03
Medium
Top 10 Elon Musk Productivity Secrets for Insane Success
"I think it is possible for ordinary people to choose to be extraordinary." Productivity secrets from the biggest visionary of our times.
Image Processing and Data Augmentation Techniques for Computer Vision
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://towardsdatascience.com/image-processing-techniques-for-computer-vision-11f92f511e21
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://towardsdatascience.com/image-processing-techniques-for-computer-vision-11f92f511e21
Medium
Image Processing and Data Augmentation Techniques for Computer Vision
Image Processing is an integral part of Computer vision. We almost always want to resize images, do data augmentation, see images in a…
How to Solve Any Code Challenge or Algorithm
Good code is abstract, so let’s apply that same logic to our problem solving! These steps are not specific and can be applied to most code challenges. (Edsger Dijkstra)
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://medium.com/swlh/how-to-solve-any-code-challenge-or-algorithm-c66e0bed9dc9
Good code is abstract, so let’s apply that same logic to our problem solving! These steps are not specific and can be applied to most code challenges. (Edsger Dijkstra)
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://medium.com/swlh/how-to-solve-any-code-challenge-or-algorithm-c66e0bed9dc9
Medium
How to Solve Any Code Challenge or Algorithm
A step by step guide
Programming, Data Science and Machine Learning Books (Python and R)
These books will help you to understand the processes involved in data science workflow and become a data science professional.
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://towardsdatascience.com/programming-data-science-and-machine-learning-books-python-and-r-bfcc7f47492
These books will help you to understand the processes involved in data science workflow and become a data science professional.
1.Join 👉@DeepLearning_ai
2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
https://towardsdatascience.com/programming-data-science-and-machine-learning-books-python-and-r-bfcc7f47492
Medium
Programming, Data Science and Machine Learning Books (Python and R)
These books will help you to understand the processes involved in data science workflow and become a data science professional.