Curriculum

Python + Machine Learning

Learn Machine Learning and become an expert

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Machine Learning is no longer just a niche subfield of computer science but technology giants have been using it for years – Machine learning algorithms power Walmart product recommendations, surge pricing at Uber, fraud detection at top financial institutions, content that Twitter, LinkedIn, Facebook and Instagram display on social media feeds or Google Maps. Machine learning products are being used daily, perhaps without realizing it. The future of machine learning is already here, it’s just that machine learning career is exploding now because of smart algorithms being used everywhere from email to mobile apps to marketing campaigns. If you are in search of the most in-demand and most-exciting career domains, gearing up yourself with machine learning skills is a good move now.

Python + Machine Learning Average Salary:


INR 8,00,000/- to INR 15,00,000/-

Why choose Us?

Get your fundamentals right.Because we are Reliable.

All our mentors have more than 15 years of combined experience. We at valley help you understand programming right from the basic. So even if you new to programming, dont worry we have everything that you want for success.

Why choose Us?

Placement Assistance.We help you to get a job.

We know what it takes to clear a coding interview. We will train you and get you placed. Our students generally get placed within 6 months from the program completion.

Why choose Us?

Mentors.Learning and to educate.

All our mentors are US returns having studied in some of the prestigious universities. They have worked in companies like IBM Watson, PayPal, Akamai, etc. Their tremendous work experience and their love to teach will make sure that our students learn from experts.

Valley Experience

Valley experience is all about learning to code in an effective and proper way.
1.

Pre work

Before you get started with learning from valley, start your pre work. You will be given a certain amount of study material to finish before you start learning in valley.

2.

Learn at valley

At valley, you will undergo a stringent hands on coding exercise in the supervision of some renowned instructors. Get ready to put your coding hat on.

3.

Placement training

The moment you finish learning in the bootcamp, we directly start you placement training. This is again instructor led. We know what is usually asked in the interviews, and we prepare you exactly for that.

4.

Post valley bootcamp

We provide students support once they get placed too. You will have access to our instructors, study materials etc even after you graduate.

Curriculum

Know the concepts that you are going to learn in weekly manner

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described. The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis

Download the Curriculum

Syllabus.

Take a look at our syllabus teaching methods.

Weeks (12)

Introduction to Python + ML.
  • Install Ubuntu / VirtualBox
  • Explore Linux commands and shell scripting
  • Install Python, PIP, Virtualenv, Git
  • Setup Slack, GitHub, Google Drive
Linux And Shell Scripting.
  • Data structures in Python
  • Functions, Classes (OOPS), Packages in Python
  • Introduction to MVC architecture
  • HTTP, REST
  • Explore HTTP requests using Google Chrome
Python, PIP, Pycharm
  • Create REST APIs using Flask
  • Use Postman to test your APIs
  • Add HTML forms to interact with REST APIs
  • Use Flask Templates
Understanding REST API.
Capstone Project ­ building “Mini Amazon”
Build your own rest API.
Capstone Project ­ building “Mini Amazon”
Databases: MongoDb, SQL
  • Cloud Computing
  • Create AWS account
  • Deploy “Mini Amazon” on EC2
  • Use DynamoDB for persistence
Cloud Computing: EC2, S3 etc.
Interview preparation ­ Data structures and Algorithms
Interview preparation. DS and Algos.
  • Intro to ML
  • Unsupervised, Supervised
  • Clustering, Classification, Regression
  • Jupyter Notebook
  • Pandas, Numpy, Ggplot, Sklearn
  • Reading data
  • Data visualization
Clustering and Regression
Clustering
  • K­means clustering
  • DB Scan clustering
  • Hierarchical clustering
Regression
  • Simple Linear regression
  • Multiple Linear regression
  • Polynomial regression
Forests and Logistic Regression
  • K-­NN
  • Decision Trees
  • Random Forests
  • Logistic regression
Clustering and Classification.
Classification
  • Naive Bayes
  • SVM
  • Kernel SVM
Model evaluation
Ensemble learning
Dimensionality reduction ­ PCA
Artificial Neural Networks
  • Perceptron, Optimization, Loss function
  • Deep Learning
Project:­ Linear regression using Perceptron (TensorFlow)
Project: ­Image processing with MNIST dataset (TensorFlow)

Placement Assurance.

You graduate from Valley and you will get jobs.

Online presence

Once you graduate, you will have strong and unique portfolio presence in github. You will be doing close to 3 projects during the class hours. We help you increase your marketability along with helping you to learn to code.

Excellent placement team

We have a top notch placement team which is constantly looking to place our candidates into various companies. Our proven track record in placement is an example on how good our placement team is.

Practice, practice, practice

And at last, you will undergo rigorous practise sessions in the form of mock interviews, whiteboard coding challenges, group discussions etc.

Course Details.

Python + Machine Learning

You can learn lot of things nd can have fun in this course

  • Placement Assistance
  • 100% Job Assistance
  • Advanced Mentoring
  • Fun in Learning
  • Educative Materials
  • Sophisticated Environment
  • Duration: 3rd Nov 2018 - 20th Jan 2018
  • Timings: Sat & Sun ( 12 Weeks ) | 11:00 AM - 06:00 PM ( IST )
  • Complex Problems Solving Methods
  • Hands on training.

Money Back Gaurantee

We pride ourselves in giving quality education and helping students with placements, if you don't get a job within 6 months of course completion, we will refund you. Check eligibility criteria: You need to clear 2 tests and complete all assignments and projects.

3rd Nov 2018
39,999/- + GST One Time

Our Mentors

Nandeesh Hasbi

Nandeesh Hasbi

Sunil D Shashidhara

Sunil D Shashidhara

Vijay Rangan

Vijay Rangan

You can take courses now and can pay later

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Founded by ex-I bankers and consultants, Propelld goes beyond traditional CIBIL scores to value a student based on not just his current creditworthiness but signals that show his potential. We see a lot of factors to this effect and reward a student's performance to identify high-quality borrowers in spite of limited credit or work history.