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Modulo 1 - Fundamentos de Deep Learning/Aulas práticas I/Aula Prática 6.mp4 325.6 MB
Modulo 1 - Fundamentos de Deep Learning/Aulas práticas I/Aula Prática 1.mp4 164.0 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 02 - Redes Neurais Artificiais/Aula 2.3. Funcionamento básico.mp4 161.6 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.3.mp4 154.1 MB
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Modulo 1 - Fundamentos de Deep Learning/Aula 01 - Introdução ao Deep Learning/Aula 1.1. Aprendizado de máquina.mkv 136.3 MB
Modulo 2 - Processamento de Linguagem Natural/Aula 1 - Introdução/Aula 1.5. Python Tutorial.mp4 135.2 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 1.2.mp4 133.4 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 2.5.mp4 129.2 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 2.1.mp4 127.7 MB
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Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.5.2.mp4 109.0 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 05 - Deep Learning - Parte I/Aula 5.2. Redes Neurais Convolucionais (CNN).mp4 108.9 MB
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【影视】 [ FreeCourseWeb.com ] Udemy - Basic Concepts of Mechanics of Materials for Machine Design

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~Get Your Files Here !/9. State of Stress and Stress Transformations/5. Stress Transformation - Derivation.mp4 45.2 MB
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~Get Your Files Here !/3. Stress- Strain Diagram/2. Stress vs Strain Explanation.mp4 28.8 MB
~Get Your Files Here !/3. Stress- Strain Diagram/11. Stress Concentration Factor- Axial Tensile.mp4 27.9 MB
~Get Your Files Here !/6. Pure Bending/16. Shear force and Bending moment diagrams- Part 1.mp4 27.3 MB
~Get Your Files Here !/4. Factor of Safety/4. Selection of Appropriate FOS.mp4 27.3 MB
~Get Your Files Here !/6. Pure Bending/20. Cantilever Beam with UDL Part 2.mp4 26.6 MB
~Get Your Files Here !/5. Stress in Oblique plane/1. Stress in Oblique plan of Uniaxial loaded member.mp4 25.4 MB
~Get Your Files Here !/6. Pure Bending/3. Bending geometry- deformation and strain Part 1.mp4 21.4 MB
~Get Your Files Here !/6. Pure Bending/11. Real life example of Beams.mp4 21.0 MB
~Get Your Files Here !/2. Basic Concepts/1. Importance of Strength.mp4 20.7 MB
~Get Your Files Here !/2. Basic Concepts/4. Force and Moment Equilibrium.mp4 19.9 MB
~Get Your Files Here !/2. Basic Concepts/6. Degrees of Freedom and Joints.mp4 19.4 MB
~Get Your Files Here !/8. Multi Axial Loading/1. Normal stress and strain in Multi Axial Loading.mp4 18.8 MB
~Get Your Files Here !/1. Introduction/3. Generic Engineering Design Process.mp4 18.1 MB
~Get Your Files Here !/7. Torsion/3. Finding Equation for Shear Strain.mp4 17.0 MB
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~Get Your Files Here !/2. Basic Concepts/5. Free Body diagram Examples.mp4 16.5 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Data pre-processing for Machine Learning in Python

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~Get Your Files Here !/9. A complete pipeline/1. An example of a complete pipeline.mp4 127.1 MB
~Get Your Files Here !/3. Encoding of the categorical features/2. One-hot encoding.mp4 120.3 MB
~Get Your Files Here !/2. Data cleaning/6. ColumnTransformer and make_column_selector.mp4 92.7 MB
~Get Your Files Here !/8. Filter-based feature selection/6. Feature importance according to a model.mp4 91.6 MB
~Get Your Files Here !/2. Data cleaning/7. Exercises.mp4 84.7 MB
~Get Your Files Here !/5. Pipelines/3. Exercises.mp4 82.6 MB
~Get Your Files Here !/5. Pipelines/2. Pipelines and ColumnTransformer together.mp4 82.5 MB
~Get Your Files Here !/8. Filter-based feature selection/2. Numerical features, numerical target.mp4 81.7 MB
~Get Your Files Here !/4. Transformations of the numerical features/6. Exercise.mp4 80.5 MB
~Get Your Files Here !/3. Encoding of the categorical features/5. Exercise.mp4 78.0 MB
~Get Your Files Here !/6. Scaling/2. Normalization, Standardization, Robust scaling.mp4 74.6 MB
~Get Your Files Here !/8. Filter-based feature selection/4. Categorical features, numerical target.mp4 74.6 MB
~Get Your Files Here !/7. Principal Component Analysis/2. How to perform PCA.mp4 64.8 MB
~Get Your Files Here !/2. Data cleaning/5. KNN blank filling.mp4 63.9 MB
~Get Your Files Here !/4. Transformations of the numerical features/3. Binning.mp4 63.4 MB
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【影视】 [FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers

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4. Regression/3. Regression Example.mp4 53.5 MB
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5. Clustering/1. Clustering.mp4 32.8 MB
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4. Regression/3. Regression Example.vtt 5.9 kB
4. Regression/1. Linear Regression.vtt 5.8 kB
2. First Program (Classifier)/3. First Program (Classifier).vtt 5.7 kB
5. Clustering/3. Kmeans explained.vtt 5.5 kB
4. Regression/4. Polynomial Regression.vtt 5.4 kB
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【影视】 [ DevCourseWeb.com ] Udemy - Machine Learning for Beginner

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~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/8. Project Develop a KNN machine model in Python codes.mp4 544.5 MB
~Get Your Files Here !/8. Naive Bayes Classifier/4. Project Develop a Naive Bayes machine model in Python codes.mp4 281.2 MB
~Get Your Files Here !/9. Logistic Regression Classifier/5. Project Develop a Logistic Regression machine model in Python codes.mp4 275.1 MB
~Get Your Files Here !/6. Support Vector Machine (SVM) Classifier/11. Project Develop a support vector machine model in Python.mp4 268.1 MB
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~Get Your Files Here !/8. Naive Bayes Classifier/3. Solve an example to cement the concept of Bayes rule.mp4 204.8 MB
~Get Your Files Here !/10. Decision Tree Classifier/3. Project Develop a Decision Tree machine model in Python codes.mp4 177.8 MB
~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/6. Euclidean distance formula to measure the distance between two data points.mp4 156.2 MB
~Get Your Files Here !/3. Principal Component Analysis (PCA)/2. How principal component analysis works Check it graphically.mp4 81.7 MB
~Get Your Files Here !/8. Naive Bayes Classifier/2. Understand Naive Bayes rule by giving a daily life example.mp4 77.0 MB
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~Get Your Files Here !/5. Classification and Regression/1. Classification process of machine model to explore and analyze the data.mp4 75.7 MB
~Get Your Files Here !/2. Introduction to Machine Learning/3. Machine learning vs Deep learning vs Artificial intelligence vs Data Science.mp4 74.0 MB
~Get Your Files Here !/4. Confusion Matrix, Under-fitting & Over-fitting/4. Under-fitting & Over-fitting of a Machine model. Understand it graphically.mp4 67.2 MB
~Get Your Files Here !/2. Introduction to Machine Learning/2. Understand machine learning concept by the examples we face in daily life.mp4 63.3 MB
~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/2. How to KNN machine model works Understand it graphically.mp4 61.9 MB
~Get Your Files Here !/4. Confusion Matrix, Under-fitting & Over-fitting/1. Table of a confusion matrix and derive the predicted and actual values.mp4 58.9 MB
~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/3. Concept of KNN machine model with a daily a life example. Check it graphically.mp4 55.7 MB
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【压缩文件】 [GigaCourse.Com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python

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45 - You Only Look Once (YOLO) Algorithm Implementation/005 YOLO algorithm implementation V.mp4 100.5 MB
05 - Linear Regression/004 Linear regression implementation I.mp4 95.2 MB
19 - Single Layer Networks Implementation/002 Simple neural network implementation - Iris dataset.mp4 89.1 MB
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40 - Face Detection with Viola-Jones Method Implementation/002 Face detection implementation II - CascadeClassifier.mp4 74.1 MB
46 - Single-Shot MultiBox Detector (SSD) Theory/003 Bounding boxes and anchor boxes.mp4 74.0 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/004 YOLO algorithm implementation IV.mp4 73.1 MB
38 - Computer Vision Project I - Lane Detection Problem (Self-Driving Cars)/005 Getting the useful region of the image - masking.mp4 67.9 MB
16 - Machine Learning Project I - Face Recognition/004 Understanding eigenfaces.mp4 66.0 MB
43 - Convolutional Neural Networks (CNNs) Based Approaches/002 Region proposals and convolutional neural networks (CNNs).mp4 63.6 MB
26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 61.4 MB
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