| Course | |||||
|---|---|---|---|---|---|
 | DSG This course is an introduction to Neural Networks which will help you know the basic architecture and learn about topics like CNN & RNN. Topics in this course - Neural Networks: Introduction Perceptron/Neurons Layers Neural Network structure Forward... | ||||
| DSG This course is to learn about the sequence models and concepts in deep learning which will help in solving advance NLP problems | ||||
| DSG This course is an introduction to basic concepts of NLP and its implementation in Python. The course has 3 parts - Introduction - Definition and concepts of different techniques and terminologies used in all NLP applications Sentiment Analysis -... | ||||
| DSG | ||||
| DSG Correlation Linear , Logistic and Time Series Regression Cluster Analysis Decision Tree Factor Analysis & PCA | ||||
| DSG | ||||
| DSG | ||||
| DSG This is the second course in the series of Advance Analytics & ML on Python. On a high level, we will cover the following techniques in this course - 1. Segmentation Techniques 2. Dimensionality reduction 3. Model Ensembles 4. Support Vector Machines... | ||||
| DSG | ||||
 | DSG This final course in the Computer Vision series introduces the concepts of image segmentation, starting with classical ML techniques to State-of-the-Art image segmentation models in the era of CNNs. |
