Over the past few years, Big Data and its analysis have grown exponentially and changed the way businesses operate. Python has emerged as a strong contender for carrying out predictive analysis on Big Data, because of its syntax, clarity, and easy readability. Python for Machine Learning is a potent programming language that helps build algorithms for smart and intelligent machines that work without human intervention and continuously learn, evolve, and improve by taking in new data. Python based machine learning has found a wide variety of use cases in healthcare, insurance, banking, software, and several other industries. With the machine learning industry growing at an exponential rate, it is a trend that will sweep the world in the near future. Master ML with Python and become part of the technology revolution that will shape the future world.
How do you get started with ML with Python?
If you are new to ML and Python and wish to go from basic to advanced in order to start your career in this field, then this comprehensive course from Zeolearn is just right for you. You will learn all the concepts of Python and ML along with Supervised and unsupervised learning, understand how Statistical Modeling relates to Machine Learning, and learn to build algorithms with practical hands-on exercises. Enrol now and get started on a brilliant career in Machine Learning.
Immersive hands-on training with a combination of theoretical learning, hands-on exercises, group discussions, assignments and intensive Q&A sessions.
Ask questions, get clarifications, and engage in discussions with instructors and other participants.
Get mentored by Industry practitioners having more than 10 years of experience.
Don’t gain just theoretical or practical knowledge. Understand the WHAT, WHY, and HOW of a subject. Simplify the subject matter and get in-depth comprehension.
Get reviews and timely feedback on your assignments and projects from professional developers.
We emphasize on learning the concepts through examples and help you in building a portfolio of projects through the course of training.
Free lifetime enrolment into any of the upcoming batches to help you refresh the concepts.
The curriculum goes through multiple levels of design and preparation by the experts to keep the topics/modules relevant to everyday changes in technology.
Learn to use collaborative mediums to share opinions and improve your coding skills with assistance from the instructors and other participants.
Learn about the various libraries offered by Python to manipulate, preprocess, and visualize data.
Learn the basics of Machine Learning including an introduction to Supervised and Unsupervised Learning.
Learn to use optimization techniques to find the minimum error in your Machine Learning model.
Learn about Linear and Logistic Regression, KNN Classification and Bayesian Classifiers.
Learn about K-means Clustering and Hierarchical Clustering to understand Unsupervised Learning.
Learn to use multiple learning algorithms to obtain better predictive performance.
Understand Neural Networks and apply them to classify image and perform sentiment analysis.
Zeolearn is on a mission to help organizations transform their workforce and prepare for the future of work. We aim to enable our clients to build self-organizing and high-performing teams through world-class workshops, while building in-house leadership, talent, culture, and sustainable multiple practices and capabilities with the help of our Training, Coaching and Consulting engagements.
Learn the basics of statistics like mean, median and mode, distribution of data in terms of variance, standard deviation, and interquartile range; and explore data and measures and simple graphics analyses, probability, Bayes’ theorem etc.
Learn to implement statistical operation in Excel
Learn How to define variables, sets, and conditional statements. You will also learn the purpose of functions and how to operate on files to read and write data in Python along with a range of tools and techniques.
Get introduced to Machine Learning via real-life examples and the multiple ways in which it affects our society. You will learn various algorithms and models like Classification, Regression, and Clustering among other techniques.
Get an understanding of various optimisation techniques such as Batch Gradient Descent, Stochastic Gradient Descent, ADAM, and RMSProp.
Learn about Linear and Logistic Regression with Stochastic Gradient Descent via real-life case studies. You will also learn hyper-parameters tuning like learning rate, epochs, momentum, and class-balance, concepts of Linear and Logistic Regression along with other techniques.
Learn about unsupervised learning techniques like K-means Clustering and Hierarchical Clustering
In marketing, if you’re trying to talk to everybody, you’re not reaching anybody. This dataset has social posts of teen students. Based on this data, use K-Means clustering to group teen students into segments for targeted marketing campaigns.
Learn the ensemble techniques which enable you to build machine learning models including Decision Trees for regression and classification problems, Entropy, Information Gain, Standard Deviation reduction, Gini Index, and CHAID along with other techniques.
You will learn to use the Apriori Algorithm to find out strong associations using key metrics like Support, Confidence and Lift. Further, you will learn what are UBCF and IBCF and how they are used in Recommender Engines. The courseware covers concepts like cold-start problems. You will examine a real life case study on building a Recommendation Engine.
You do not need a market research team to know what your customers are willing to buy. Netflix is an example of this, having successfully used recommender system to recommend movies to its viewers. Netflix has estimated that its recommendation engine is worth a yearly $1billion.
An increasing number of online companies are using recommendation systems to increase user interaction and benefit from the same. Build a Recommender System for a Retail Chain to recommend the right products to its users.
With attributes describing various aspects of residential homes, you are required to build
This dataset classifies people described by a set of attributes as good or bad credit risks.
Biodegradation is one of the major processes that determine the fate of chemicals in the environment.
In marketing, if you’re trying to talk to everybody, you’re not reaching anybody. This dataset
Wine comes in various types. With the ingredient composition known, we can build a model
Covers projects using Linear Regression, Logistic Regression, Decision Tree, Time Series Forecasting, K-Nearest Neighbor, Support Vector Machine, Neural Networks, CNN, RNN, Adaboost, GBM, Random Forest etc.
After completing our course, you will know:
ML is hot! Machine learning is used on data with the intention of arriving at useful insights and supporting business decision making. ML has changed the way organizations operate and is applicable in a variety of fields from retail and healthcare to entertainment and hospitality. Python on the other hand is a multi-domain, high-level, programming language highly preferred for its easy readability, vast array of libraries and reliability. Python has emerged as the most convenient language for data analysis and machine learning. If you want to pursue a career in ML, then learning Python is a must as ML with Python has several advantages and is what organizations will use going forward.
This course is for anyone wanting to apply ML algorithms to real life business problems. Also, Software or Data Engineers interested in learning quantitative analysis and ML will benefit from this course.
The workshops at Zeolearn are always interactive, immersive and intensive hands-on programs. There are 3 modes of Delivery and you can select based on the requirements -
We follow the below mentioned procedure for all the training programs by dividing the complete workshop experience into 3 stages i.e Pre, Workshop and Post. This is a tried and tested approach using which we have been able to upskill thousands of engineers.
Before the start of training program, we make sure that you are ready to understand the concepts from Day 1. Hence, as a process of preparation for the intensive workshop, we provide the following -
The training is completely hands-on and you receive the below mentioned deliverables from Zeolearn team -
We don’t just impart skills but also make sure that you implement them in the project. And for that to happen, we are always in touch with you either through newsletters or webinars or next version trainings. Some of the post-training deliverables lined-up for you are -
Yes, Zeolearn has well-equipped labs with the latest version of hardware and software. We provide Cloudlabs to explore every feature of Machine Learning with Python through hands-on exercises. Cloudlabs provides an environment that lets you build real-world scenarios and practice from anywhere across the globe. You will have live hands-on coding sessions and will be given practice assignments to work on after the class.
At Zeolearn, we have Cloudlabs for all the major categories like Web development, Cloud Computing, and Data Science.
As a Machine Learning Professional, you will be required to use your skills in different situations to solve different problems. The best way to showcase your skills is to work on a variety of projects like the ones below and sharpen your problem-solving skills. These projects are samples of the kind of projects you will work on during your training.
This course is delivered by industry-recognized experts who would be having more than 10 years of real-time experience in Machine Learning with Python.
Not only will they impart knowledge of the fundamentals and advanced concepts, they will provide end-to-end mentorship and hands-on training to help you work on real-world projects with regards to Machine Learning with Python.
Once you register for the course you will be provided with system requirements and lab setup document which contains detailed information to prepare the environment for the course.
To attend Machine Learning with Python training program, the basic hardware and software requirements are as mentioned below -
All our training programs are quite interactive and fun to learn with plenty of time spent on lot of hands-on practical training, use case discussions and quizzes. Our instructors also use an extensive set of collaboration tools and techniques which improves your online training experience.
This will be live interactive training led by an instructor in a virtual classroom.
You will receive a registration link to your e-mail id from our training delivery team. You will have to log in from your PC or other devices.
Yes, for all the online public workshops there would be participants logging in from different locations.
In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.zeolearn.com/contact-us, or send an email to email@example.com.
We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, we will facilitate a one-on-one discussion session with our trainers.
If you miss a class, you can access the class recordings anytime from our LMS. At the beginning of every session, there will be a 10-12 minute recapitulation of the previous class. You can watch the online recording and clarify your doubts at that time. You may need to login 15 minutes before the main lecture begins to avail this facility.
We also have a Free Lifetime enrollment for most of our courses. In case you miss out a class, you can also enroll for another complete workshop or only for a particular session.
Typically, Zeolearn’s training are exhaustive and the mentors help you out in understanding the in-depth concepts.
However, if you find it difficult to cope, you may discontinue within the first 4 hours of training and avail a 100% refund. Learn more about our refund policy here.
Yes, we have scholarships available for Students and Veterans. We do provide grants that can vary upto 50% of the course fees.
To avail scholarships, please get in touch with us at firstname.lastname@example.org. The team shall send across the forms and instructions to you. Based upon the responses and answers that we receive, the panel of experts take a decision on the Grant. The entire process could take around 7 to 15 days.
Yes, we do have instalment options available for the course fees. To avail instalments, please get in touch with us at email@example.com. The team shall explain how the instalments work and would provide the timelines for your case.
Usually we allow payment in 2 to 3 instalments but have all to be paid before you complete the course.
Machine learning with Python
Organizations, these days depend a lot on the data generated to get demand forecasts, consumer behaviour analysis, which helps them to be better prepared with their inventory, production cycles etc. The study of this big data generated has changed the way organisations operate and Python helps to achieve that.
Python is the most popular programming language for predictive analysis of big data. The ease in use makes Python as one of the most preferred programming machine languages in the world. In the past few years, Python has progressed immensely and has created analytics packages such as Matplotlib, Scipy, Pandas, Numpy which has made analysing data with Python very easy. Zeolearn academy offers Python Machine Learning Training in San Francisco.
Benefits of the course:
Python Machine Learning Course in San Francisco is devised in a very comprehensive way, and the participants become skilled in numerical computing using Python and also get introduced to Panda, Scipy and basics of machine learning. The lectures for python machine learning training in San Francisco are given online by certified world class instructors. The participants accomplish the following at the end of the python machine learning course in San Francisco:
Mode of delivery:
The course is delivered by certified trainers, and any query is satisfactorily explained.
The academy gives Python Machine Learning Certification in San Francisco on successful completion of the course.