Machine-Learning with Python using scikit-learn & tensorflow Training in Bangalore - ZekeLabs Best Machine-Learning with Python using scikit-learn & tensorflow Training Institute in Bangalore India
Machine-Learning with Python using  scikit-learn & tensorflow-training-in-bangalore-by-zekelabs

Machine-Learning with Python using scikit-learn & tensorflow Training

Machine-Learning with Python using scikit-learn & tensorflow Course: Machine Learning training at is one of the sought after course. More than 5 projects covered during the course. Complete hands-on course. Machine Learning in industry related discussion. At zekelabs, you get best machine learning course in bangalore & marathahalli. Complete hands on using this Best Machine Learning Course. scikit-learn & tensorflow is taught in detail. This course is available both online machine learning course as well as classroom machine learning course
Machine-Learning with Python using  scikit-learn & tensorflow-training-in-bangalore-by-zekelabs
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Machine-Learning with Python using  scikit-learn & tensorflow-training-in-bangalore-by-zekelabs
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Machine-Learning with Python using  scikit-learn & tensorflow-training-in-bangalore-by-zekelabs
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Machine-Learning with Python using scikit-learn & tensorflow Course Curriculum



Chapter 1The Machine Learning Landscape
Why Use Machine Learning?
Main Challenges of Machine Learning
Exercises
Working with Real Data
Get the Data
Prepare the Data for Machine Learning Algorithms
Fine-Tune Your Model
Try It Out!
MNIST
Performance Measures
Error Analysis
Multioutput Classification
Linear Regression
Polynomial Regression
Regularized Linear Models
Exercises
Linear SVM Classification
SVM Regression
Exercises
Training and Visualizing a Decision Tree
Estimating Class Probabilities
Computational Complexity
Regularization Hyperparameters
Instability
Voting Classifiers
Random Patches and Random Subspaces
Boosting
Exercises
The Curse of Dimensionality
PCA
LLE
Exercises
Installation
Managing Graphs
Linear Regression with TensorFlow
Feeding Data to the Training Algorithm
Visualizing the Graph and Training Curves Using TensorBoard
Modularity
Exercises
From Biological to Artificial Neurons
Training a DNN Using Plain TensorFlow
Exercises
Vanishing/Exploding Gradients Problems
Faster Optimizers
Practical Guidelines
Multiple Devices on a Single Machine
Parallelizing Neural Networks on a TensorFlow Cluster
The Architecture of the Visual Cortex
Pooling Layer
Exercises
Recurrent Neurons
Training RNNs
LSTM Cell
Natural Language Processing
Efficient Data Representations
Stacked Autoencoders
Denoising Autoencoders
Variational Autoencoders
Exercises
Learning to Optimize Rewards
Introduction to OpenAI Gym
Evaluating Actions: The Credit Assignment Problem
Markov Decision Processes
Learning to Play Ms. Pac-Man Using Deep Q-Learning

Frequently Asked Questions


We have options for classroom-based as well as instructor led live online training. The online training is live and the instructors screen will be visible and voice will be audible. Your screen will also be visible and you can ask queries during the live session.

The training on "Machine-Learning with Python using Scikit-learn & Tensorflow" course is a hands-on training. All the code and exercises will be done in the live sessions. Our batch sizes are generally small so that personalized attention can be given to each and every learner.

We will provide course-specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for this "Machine-Learning with Python using Scikit-learn & Tensorflow" through our GitHub account and the study material that we share with you. You can use that for quick reference

Feel free to drop a mail to us at info@zekelabs.com and we will get back to you at the earliest for your queries on "Machine-Learning with Python using Scikit-learn & Tensorflow" course.

We have tie-ups with a number of hiring partners and and placement assistance companies to whom we connect our learners. Each "Machine-Learning with Python using Scikit-learn & Tensorflow" course ends with career consulting and guidance on interview preparation.

Minimum 2-3 projects of industry standards on "Machine-Learning with Python using Scikit-learn & Tensorflow" will be provided.

Yes, we provide course completion certificate to all students. Each "Machine-Learning with Python using Scikit-learn & Tensorflow" training ends with training and project completion certificate.

You can pay by card (debit/credit), cash, cheque and net-banking. You can also pay in easy installments. You can reach out to us for more information.

We take pride in providing post-training career consulting for "Machine-Learning with Python using Scikit-learn & Tensorflow".



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