Data Science Training by iClass Gyansetu Training Institute Gurgaon
Data Science Training free videos and free material uploaded by iClass Gyansetu staff .
Machine Learning Introduction
Python Data Analysis Libraries (EDA)
Machine Learning: Data Pre-processing Techniques
Machine Learning: Data Handling (Importing and exporting data from various sources)
Machine Learning: Capstone Project
Machine Learning: Statistical Inference System (Statistics Analysis)
Machine Learning: Dimensionality Reduction (Feature Engineering)
Machine Learning: Supervised Learning : Regression
Machine Learning: Supervised Learning : Classification
Machine Learning: Unsupervised Learning : Clustering
Machine Learning: Recommender Systems
Case Study : Design a Recommendation Engine
Machine Learning: Reinforcement Learning
Machine Learning: Text Mining & Natural Language Processing (NLP)
Machine Learning: Word2Vec Analysis
Machine Learning: NLP - POS(Parts-of-Speech Tagging)
Deep Learning (AI) Specialization in Python:
TensorFlow for Deep Learning with MLOps (Installation with Setup)
Manual Creation of Neural Networks (Regression point of view)
Tensor Flow basics
CNN using Tensorflow
RNN using Tensorflow
TensorFlow Miscellaneous
Tensorflow AutoEncoders
Reinforcement Learning with OpenAI gym
GAN – Generative Adversarial Networks
ML Models Deployments (MLOps)
KERAS For Deep Learning with MLOps (Artificial Neural Networks)
Evaluating, Improving and Tuning the ANN
Deep Learning: Convolutional Neural Networks(CNN)
Recurrent Neural Networks(RNN)
SOM's (Self Organizing Maps)
Deep Learning: Boltzmann Machines
Deep Learning: AutoEncoders
Deep Learning: Classification & Regression Using Deep Learning Models (MLOps)
Deep Learning for Computer Vision
Setting Up Deep Learning Development Environment
Deep Learning: Handwriting Recognition, Simple Object Classification OpenCV
Deep Learning: OpenCV3 Tutorial - Live Sketches, Identify Shapes & Face Detection
Mini-Project#1 - Live Sketch App - Turn our Webcam Feed Into a Pencil Drawing
Deep Learning: Mini Project#2 - Identify Shapes (Square, Rectangle, Circle, Triangles & Stars)
Deep Learning: Mini Project#3 - Counting Circles & Ellipses
Deep Learning: MiniProject#4 - Finding Waldo (Quickly Find a Specific Pattern In An Image)
Deep Learning: MiniProject#5 - Car & Pedestrian Detection in Videos
Deep Learning: Neural Networks Explained
Deep Learning: Build CNNs in Python using KERAS - Handwriting Recognition(MNIST)
What CNNs 'see' - Filter Visualizations, Heatmaps & Salience Maps
Data Augmentation : Build a Cats Vs Dogs Classifier
Deep Learning: Types of Optimizers, Learning Rates & Call backs: Build a Fruit Classifier
Deep Learning: Types of Optimizers, Learning Rates & Call backs: Build a Fruit Classifier
Batch Normalization & Build LeNet, AlexNet : Build a Fashion/Clothes Classifier
Deep Learning: ImageNet in KERAS(VGG16/19, InceptionV3, ResNet50) -Advanced Image Classifiers
Deep Learning: Transfer Learning & Fine Tuning : Build a Flower & Monkey Breed Classifier
Deep Learning: Design Our own CNN : LittleVGG : Build a Simpsons Character Classifier
Deep Learning: Advanced Activation Functions & Initializations
Deep Learning: Deep Surveillance: Build a Facial Emotion, Age & Gender Recognition System
Deep Learning: Image Segmentation & Medical Imaging in U-Net : Find Nuclei in Images
Deep Learning: Principles of Object Detection
Deep Learning: Tensorflow Object Detection API
Deep Learning: Object Detection with YOLO & Darkflow : Build a London Underground Sign Detector
Deep Learning: DeepDream & Neural Style Transfers : Make AI Generated Art
Deep Learning: Generative Adverserial Networks (GANs) : Age Faces to 60+ Age with our Age-cGAN
Deep Learning: Face Recognition with VGGFace
Deep Learning: Computer Vision World
Deep Learning: Build a Credit Card Number Reader
Deep Learning: Use Cloud GPUs on PaperSpace
Deep Learning: Creating a Computer Vision API & WebApp Using Flask & AWS
Deep Science training will build your expertise in both basic & advanced level concepts like writing python scripts, sequence & file operations in python, Machine Learning, Data Analytics, Web application development & widely used packages like NumPy, Matplot, Scikit, Pandas & many more. The training will build your skills in real time scenarios related to analytics such as Prediction Analysis, Linear Regression, Image Processing, Audio & Video Analytics, Text Data Processing, IOT and various Machine Learning & Deep Learning Algorithms.
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