Vikas Chauhan
 |
Vikas Chauhan |
Following is the list of online courses completed by me to create a foundation of machine learning during PhD.
| Sr. No. | Course Name | Issued by | Certificate |
|---|---|---|---|
| 1 | Mathematics for Machine Learning: Linear Algebra |
Imperial College, London and offered through Coursera |
credentials |
| 2 | Machine Learning: Multivariate Calculus | Imperial College, London and offered through Coursera | credentials |
| 3 | Machine Learning: PCA | Imperial College, London and offered through Coursera | credentials |
| 4 | Specialization Mathematics course for Machine Learning | Imperial College, London and offered through Coursera | credentials |
| 5 | Machine Learning | Stanford and offered through Coursera | credentials |
| 6 | Neural Networks and Deep Learning | deeplearning and offered through Coursera | credentials |
| 7 | Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization |
deeplearning and offered through Coursera | credentials |
| 8 | Structuring Machine Learning Projects by deeplearning | deeplearning and offered through Coursera | credentials |
| 9 | Sequence Models by deeplearning | deeplearning and offered through Coursera | credentials |
| 10 | Convolutional Neural Networks | deeplearning and offered through Coursera | credentials |
| 11 | Deep Learning Specialization | deeplearning and offered through Coursera | credentials |
| 12 | Machine Learning Foundations: A Case Study Approach | University of Washington on Coursera | credentials |
| 13 | (Machine Learning Foundations)---Mathematical Foundations | National Taiwan University on Coursera | credentials |
| 14 | Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning |
deeplearning.ai on Coursera | credentials |
| 15 | Convolutional Neural Networks in TensorFlow | deeplearning.ai on Coursera | credentials |
| 16 | Natural Language Processing in TensorFlow | deeplearning.ai on Coursera | credentials |
| 17 | Sequences, Time Series and Prediction | deeplearning.ai on Coursera | credentials |
| 18 | tensorflow specialization course | deeplearning.ai on Coursera | credentials |
| 19 | Grammar and Punctuation | University of California, Irvine on Coursera | credentials |
| 20 | Programming for Everybody (Getting Started with Python) | University of Michigan on Coursera | credentials |
| 21 | Python Data Structures | University of Michigan on Coursera | credentials |
| 22 | Using Python to Access Web Data | University of Michigan on Coursera | credentials |
| 23 | Using Databases with Python | University of Michigan on Coursera | credentials |
| 24 | Capstone: Retrieving, Processing, and Visualizing Data with Python | University of Michigan on Coursera | credentials |
| 25 | Getting Started with Essay Writing | University of California, Irvine on Coursera | credentials |
| 26 | Advanced Writing | University of California, Irvine on Coursera | credentials |
| 27 | Introduction to Research for Essay Writing | University of California, Irvine on Coursera | credentials |
| 28 | Python for Everybody | University of Michigan on Coursera | credentials |
| 29 | Bayesian Methods for Machine Learning | National Research University Higher School of Economics on Coursera | credentials |
| 30 | Probabilistic Graphical Models 1: Representation | Stanford and offered through Coursera | credentials |
| 31 | Probabilistic Graphical Models 2: Inference | Stanford and offered through Coursera | credentials |
| 32 | Probabilistic Graphical Models 3: Learning | Stanford and offered through Coursera | credentials |
| 33 | Probabilistic Graphical Models Specialization | Stanford and offered through Coursera | credentials |
| 34 | Project: Writing a Research Paper | University of California, Irvine on Coursera | credentials |
| 35 | Academic English: Writing Specialization | University of California, Irvine on Coursera | credentials |
| 36 | Build Basic Generative Adversarial Networks (GANs) | DeepLearning.AI | credentials |
| 37 | Build Better Generative Adversarial Networks (GANs) | DeepLearning.AI | credentials |
| 38 | Apply Generative Adversarial Networks (GANs) | DeepLearning.AI | credentials |
| 39 | Generative Adversarial Networks (GANs) Specialization | DeepLearning.AI | credentials |
| 40 | Deep Learning with PyTorch: Build a Neural Network | Coursera guided project | credentials |
| 41 | Getting Started with PyTorch | Coursera guided project | credentials |
| 42 | Pandas Python Library for Beginners in Data Science | Coursera guided project | credentials |
| 43 | Intermediate Pandas Python Library for Data Science | Coursera guided project | credentials |
| 44 | Classification of COVID19 using Chext X-ray Images in Keras | Coursera guided project | credentials |
| 45 | Basic Statistics in Python (ANOVA) | Coursera guided project | credentials |
| 46 | Data Visualization with Python | Coursera guided project | credentials |
| 47 | Machine Learning Feature Selection in Python | Coursera guided project | credentials |
| 48 | Python World Map Geovisualization Dashboard using Covid Data | Coursera guided project | credentials |
| 49 | Principal Component Analysis with NumPy | Coursera guided project | credentials |
| 50 | Mining Data to Extract and Visualize Insights in Python | Coursera guided project | credentials |
| 51 | Image Compression and Generation using Variational Autoencoders in Python | Coursera guided project | credentials |
| 52 | Image Processing with Python | Coursera guided project | credentials |
| 53 | Detecting COVID-19 with Chest X-Ray using PyTorch | Coursera guided project | credentials |
| 54 | Image Denoising Using AutoEncoders in Keras and Python PyTorch | Coursera guided project | credentials |
| 55 | Support Vector Machine Classification in Python | Coursera guided project | credentials |
| 56 | Basic Artificial Neural Networks in Python | Coursera guided project | credentials |
| 57 | AI For Everyone | deeplearning.ai on Coursera | credentials |