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 is one of those technology which promises to change the world & it's not too late to announce that it has already started. This machine learning course conducted in Pune & many other places is designed in such a way that you no longer will be a viewer of this change, rather be a part of it. This machine learning training program starts from fundamental aspects of machine learning & goes till deployment. Right from creating machine learning business problem to data wrangling to pre-processing followed by model training all the aspects will be covered. Projects are integral part of this machine learning training program & regular hackathons are conducted in Pune. For other places, online hackathons are conducted. We have also conducted corporate machine learning training with assessment at many of our client office location as a part of our continues engagement. Focus is given on the stats, maths as well as making developers production ready. Some of the projects we do as a part of machine learning course includes - credit risk, sales prediction, data mining, healthcare projects, insurance predictions, cloth design pattern, text analysis for named entity, image classification, sentiment analytics, time series and many more. Graded assignments are integral part of the machine learning course. After completion of this machine learning training program a certification provision is also there. These certification is accredited by different companies & candidates who have cleared this are absorbed after a few screening rounds by the companies. This machine learning course is updated every alternative month as per input from different corporate. Our services are present all over the India majorly covering notable cities like Bangalore, Hyderabad, Kolkata, Kochi, Chennai, Delhi, Mumbai, Gurgaon, Noida and also in most of the non-major cities. Write to us if trainings are needed [email protected] Some of our clients are - GE - Pune, IBM - Bangalore, Pune, Kolkata, Cerner - Bangalore, Epsilon - Bangalore, TCS - Pune, Hyderabad, CISCO - Pune, Bangalore.

Machine-Learning with Python using  scikit-learn & tensorflow-training-in-bangalore-by-zekelabs
Assignments
Machine-Learning with Python using  scikit-learn & tensorflow-training-in-bangalore-by-zekelabs
Industry Level Projects
Machine-Learning with Python using  scikit-learn & tensorflow-training-in-bangalore-by-zekelabs
Certification

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


This "Machine-Learning with Python using scikit-learn & tensorflow" course is an instructor-led training (ILT). The trainer travels to your office location and delivers the training within your office premises. If you need training space for the training we can provide a fully-equipped lab with all the required facilities. The online instructor-led training is also available if required. Online training is live and the instructor's screen will be visible and voice will be audible. Participants screen will also be visible and participants can ask queries during the live session.

Participants will be provided "Machine-Learning with Python using scikit-learn & tensorflow"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Machine-Learning with Python using scikit-learn & tensorflow". Our public GitHub repository and the study material will also be shared with the participants.

All the courses from zekeLabs are hands-on courses. The code/document used in the class will be provided to the participants. Cloud-lab and Virtual Machines are provided to every participant during the "Machine-Learning with Python using scikit-learn & tensorflow" training.

The "Machine-Learning with Python using scikit-learn & tensorflow" training varies several factors. Including the prior knowledge of the team on the subject, the objective of the team learning from the program, customization in the course is needed among others. Contact us to know more about "Machine-Learning with Python using scikit-learn & tensorflow" course duration.

The "Machine-Learning with Python using scikit-learn & tensorflow" training is organised at the client's premises. We have delivered and continue to deliver "Machine-Learning with Python using scikit-learn & tensorflow" training in India, USA, Singapore, Hong Kong, and Indonesia. We also have state-of-art training facilities based on client requirement.

Our Subject matter experts (SMEs) have more than ten years of industry experience. This ensures that the learning program is a 360-degree holistic knowledge and learning experience. The course program has been designed in close collaboration with the experts working in esteemed organizations such as Google, Microsoft, Amazon, and similar others.

Yes, absolutely. For every training, we conduct a technical call with our Subject Matter Expert (SME) and the technical lead of the team that undergoes training. The course is tailored based on the current expertise of the participants, objectives of the team undergoing the training program and short term and long term objectives of the organisation.

Drop a mail to us at [email protected] or call us at +91 8041690175 and we will get back to you at the earliest for your queries on "Machine-Learning with Python using scikit-learn & tensorflow" course.



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