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[FreeCourseSite.com] Udemy - Machine Learning Essentials (2023) - Master Core ML Concepts

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	dff3f9fa09449dc2c837c358f8debb0414345afb
Size:	15.9 GB in 90 files
Release Date(s):	Torrent Release: 13-07-2023 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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Udemy - Machine Learning Essentials (2023) - Master core ML concepts

Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!

Created by Mohit Uniyal, Prateek Narang
Last updated 5/2023
English
English [Auto]

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FILE LIST

Filename		Size
	1. Introduction/1. Course Overview.mp4	49.6 MB
	1. Introduction/10. Code Repository.html	236 B
	1. Introduction/2. Artificial Intelligence.mp4	48.6 MB
	1. Introduction/3. Machine Learning.mp4	67 MB
	1. Introduction/4. Deep Learning.mp4	54.5 MB
	1. Introduction/5. Computer Vision.mp4	43.1 MB
	1. Introduction/6. Natural Language Processing.mp4	64.4 MB
	1. Introduction/7. Automatic Speech Recognition.mp4	100.7 MB
	1. Introduction/8. Reinforcement Learning.mp4	43.9 MB
	1. Introduction/9. Pre-requisites.html	889 B
	10. K-Means/1. K-Means Algorithm.mp4	60.1 MB
	10. K-Means/2. Code 01 - Data Prep.mp4	18.6 MB
	10. K-Means/3. Code 02 - Init Centers.mp4	65.7 MB
	10. K-Means/4. Code 03 - Assigning Points.mp4	75.6 MB
	10. K-Means/5. Code 04 - Updating Centroids.mp4	59.1 MB
	10. K-Means/6. Code 05 - Visualizing K-Means & Results.mp4	81.8 MB
	11. Project - Dominant Color Extraction/1. Introduction.mp4	25.1 MB
	11. Project - Dominant Color Extraction/2. Reading Images.mp4	24.2 MB
	11. Project - Dominant Color Extraction/3. Finding Clusters.mp4	53.9 MB
	11. Project - Dominant Color Extraction/4. Dominant Color Swatches.mp4	39.7 MB
	11. Project - Dominant Color Extraction/5. Image in K-Colors.mp4	71 MB
	12. Naive Bayes Algorithm/1. Bayes Theorem.mp4	87.3 MB
	12. Naive Bayes Algorithm/10. CODE - Likelihood.mp4	166.5 MB
	12. Naive Bayes Algorithm/11. CODE - Prediction.mp4	71.4 MB
	12. Naive Bayes Algorithm/12. Implementing Naive Bayes - Sklearn.mp4	111.5 MB
	12. Naive Bayes Algorithm/2. Derivation of Bayes Theorem.mp4	74.8 MB
	12. Naive Bayes Algorithm/3. Bayes Theorem Question.mp4	145 MB
	12. Naive Bayes Algorithm/4. Naive Bayes Algorithm.mp4	80.7 MB
	12. Naive Bayes Algorithm/5. Naive Bayes for Text Classification.mp4	160.7 MB
	12. Naive Bayes Algorithm/6. Computing Likelihood.mp4	193.2 MB
	12. Naive Bayes Algorithm/7. Understanding Golf Dataset.mp4	218.7 MB
	12. Naive Bayes Algorithm/7.1 golf.csv	430 B
	12. Naive Bayes Algorithm/8. CODE - Prior Probability.mp4	61.1 MB
	12. Naive Bayes Algorithm/9. CODE - Conditional Probability.mp4	108.1 MB
	13. Multinomial Naive Bayes/1. Multinomial Naive Bayes.mp4	141.1 MB
	13. Multinomial Naive Bayes/2. Laplace Smoothing.mp4	91.5 MB
	13. Multinomial Naive Bayes/3. Multinomial Naive Bayes Example.mp4	179.2 MB
	13. Multinomial Naive Bayes/4. Bernoulli Naive Bayes.mp4	204.7 MB
	13. Multinomial Naive Bayes/5. Bernoulli Naive Bayes Example.mp4	138.3 MB
	13. Multinomial Naive Bayes/6. Bias Variance Tradeoff.mp4	94.4 MB
	13. Multinomial Naive Bayes/7. Gaussian Naive Bayes.mp4	109.3 MB
	13. Multinomial Naive Bayes/8. CODE - Variants of Naive Bayes.mp4	93.9 MB
	14. PROJECT Spam Classifier/1. Project Overview.mp4	87.4 MB
	14. PROJECT Spam Classifier/2. Data Clearning.mp4	157.9 MB
	14. PROJECT Spam Classifier/3. WordCloud.mp4	106.2 MB
	14. PROJECT Spam Classifier/4. Text Featurization.mp4	44.2 MB
	14. PROJECT Spam Classifier/5. Model Building.mp4	52.1 MB
	14. PROJECT Spam Classifier/6. Model Evaluation.mp4	67.9 MB
	15. Decision Trees/1. Decision Trees Introduction.mp4	78 MB
	15. Decision Trees/2. Decision Trees Example.mp4	137.4 MB
	15. Decision Trees/3. Entropy.mp4	118.4 MB
	15. Decision Trees/4. CODE Entropy.mp4	70.1 MB
	15. Decision Trees/5. Information Gain.mp4	199.5 MB
	15. Decision Trees/6. CODE Split Data.mp4	135.8 MB
	15. Decision Trees/7. CODE Information Gain.mp4	93.8 MB
	15. Decision Trees/8. Construction of Decision Trees.mp4	66.4 MB
	15. Decision Trees/9. Stopping Conditions.mp4	98.3 MB
	16. Decision Trees Implementation/1. CODE - Decision Tree Node.mp4	61.2 MB
	16. Decision Trees Implementation/10. Decision Trees for Regression.mp4	89.5 MB
	16. Decision Trees Implementation/11. Decision Tree Code - Sklearn.mp4	36.7 MB
	16. Decision Trees Implementation/2. CODE - Train Decision Tree.mp4	119.7 MB
	16. Decision Trees Implementation/3. CODE - Assign Target Variable to Each Node.mp4	59.9 MB
	16. Decision Trees Implementation/4. CODE - Stopping Conditions.mp4	72.4 MB
	16. Decision Trees Implementation/5. CODE - Train Child Nodes.mp4	83.4 MB
	16. Decision Trees Implementation/6. CODE - Explore Decision Tree Model.mp4	102.3 MB
	16. Decision Trees Implementation/7. CODE - Prediction.mp4	116.4 MB
	16. Decision Trees Implementation/8. Handling Numeric Features.mp4	110 MB
	16. Decision Trees Implementation/9. Bias Variance Tradeoff.mp4	58.9 MB
	17. PROJECT Titanic Survival Prediction/1. Project Overview.mp4	100.8 MB
	17. PROJECT Titanic Survival Prediction/1.1 titanic_train.csv	58.9 KB
	17. PROJECT Titanic Survival Prediction/2. Exploratory Data Analysis.mp4	83.8 MB
	17. PROJECT Titanic Survival Prediction/3. Exploratory Data Analysis - II.mp4	79 MB
	17. PROJECT Titanic Survival Prediction/4. Data Preparation for ML Model.mp4	83.4 MB
	17. PROJECT Titanic Survival Prediction/5. Handling Missing Values.mp4	94.8 MB
	17. PROJECT Titanic Survival Prediction/6. Decision Tree Model Building.mp4	77.8 MB
	17. PROJECT Titanic Survival Prediction/7. Visualize Decision Tree.mp4	92.6 MB
	18. Ensemble Learning Bagging/1. Ensemble Learning.mp4	69.3 MB
	18. Ensemble Learning Bagging/2. Bagging Model.mp4	128.8 MB
	18. Ensemble Learning Bagging/3. Why Bagging Helps.mp4	142.6 MB
	18. Ensemble Learning Bagging/4. Random Forest Algorithm.mp4	118.1 MB
	18. Ensemble Learning Bagging/5. Bias Variance Tradeoff.mp4	127.4 MB
	18. Ensemble Learning Bagging/6. CODE Random Forest.mp4	115.6 MB
	19. Ensemble Learning Boosting/1. Boosting Introduction.mp4	120.4 MB
	19. Ensemble Learning Boosting/2. Boosting Intuition.mp4	133.5 MB
	19. Ensemble Learning Boosting/3. Boosting Mathematical Formulation.mp4	211.5 MB
	19. Ensemble Learning Boosting/4. Concept of Pseudo Residuals.mp4	152.8 MB
	19. Ensemble Learning Boosting/5. GBDT Algorithm.mp4	245.2 MB
	19. Ensemble Learning Boosting/6. Bias Variance Tradeoff.mp4	83.4 MB
	19. Ensemble Learning Boosting/7. CODE - Gradient Boosting Decision Trees.mp4	131.6 MB
	19. Ensemble Learning Boosting/8. XGBoost.mp4	119.3 MB

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