This Machine Learning course in Mumbai offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised and unsupervised learning, regression, classification, and time series modeling. Learn how to use Python in this Machine Learning training course to draw predictions from data.
The Machine Learning market is expected to reach USD $30.64 Billion by 2024, at a Compound Annual growth rate(CAGR) of 42.8-percent, indicating the increased adoption of Machine Learning among companies. By 2024, the demand for Machine Learning engineers is expected to grow by 11-percent.
Uber wants to improve the accuracy of its fare prediction model. Help Uber by choosing the best data and AI technologies in building its next-generation model.
Mercedes-Benz wants to shorten the time models spend on its test-bench, thus reducing a car’s time to market. Build and optimize a Machine Learning algorithm to solve this problem.
The Inter-American Development bank wants to qualify people for an aid program. Help the bank to build and improve the accuracy of the data set using a random forest classifier.
Use the data of Amazon employees and their access permissions to build a model that automatically decides access privileges as employees enter and leave roles within Amazon.
This Machine Learning course in Lucknow will give you a complete overview of ML methodologies, enough to prepare you to excel in your next role as a Machine Learning Engineer. You will earn Simplilearn’s Machine Learning certification that will attest to your new skills and on-the-job expertise. Get familiar with regression, classification, time series modelling, and clustering.
Yes, we provide 1 practice test as part of our Machine Learning course to help you prepare for the actual certification exam. You can try this Machine Learning Multiple Choice Questions - Free Practice Test to understand the type of tests that are part of the course curriculum.
I have enrolled in the PG program in Data Science with Simplilearn, and it has been a fantastic learning experience so far. Simplilearn has an excellent set of trainers who are competent enough to teach the new age technology. Thank you, Simplilearn, for such a great learning journey!
Simplilearn is a great start for the beginner as well as for the experienced person who wants to get into a data science job. Trainers are well experienced and we get more detailed ideas on the concepts and exercises. I could finish my course very easily with good project exercises.
Simplilearn is the best platform to learn Machine Learning. I have enrolled in this course taught by Vaishali Balaji. Vaishali has excellent knowledge of the subject and covers all machine learning topics - from Linear Regression to XGBoost. The Online Labs are very useful too, for practice.
I have enrolled in Simplilearn's Data Science and Advanced Machine Learning programs. The course content is comprehensive and live sessions enriching. Mentors are incredibly knowledgeable, and self-learning videos are helpful. The support team is accommodative and ready to help too.
Machine learning is in high demand. But before you jump into certification training, it’s essential for beginners to get familiar with the basics of machine learning first. Simplilearn’s free resources articles, tutorials, and YouTube videos will help you get a handle on the concepts and techniques of machine learning. Start your learning with our free courses that serve as a foundation for this exciting and dynamic field: Statistics Essentials for Data Science, Math Refresher, and Data Science with Python.
Yes, the Machine Learning course in Mumbai is suitable for freshers, and this course helps you learn Machine Learning topics including working with real-time data, developing algorithms using supervised and unsupervised learning, regression, classification, and time series modeling.
The course fee of the Machine Learning training in Mumbai starts from Rs. 18,999/-.
No matter which area of Mumbai you are in, be it Bandra, Malabar Hill, Juhu, Worli, Altamount Road, Andheri, Powai, Versova anywhere. You can access our Machine Learning course sitting at home or office.
No, currently, we do not provide any placement guarantee with the Machine Learning course.
Simplilearn provides instructor-led training, lifetime access to self-paced learning, training from industry experts, and real-life industry projects with multiple video lessons.
The candidates taking the Machine Learning course in Mumbai will be able to do the following:
In all of the major industries, there is a considerable requirement for professionals who are proficient in Machine Learning. This Machine Learning course in Mumbai ideal for professionals who have an intermediate level of working experience. The following professionals will specifically benefit from the Machine Learning course:
We make sure that our Machine Learning course in Mumbai provides coding experience along with hands-on projects. While beginning with the concepts, we also provide theoretical motivation and mathematical problem formulation.
This course includes one primary capstone project and more than 25 ancillary exercises based on 17 machine learning algorithms.
Capstone Project Details:
Project Name: Predicting house prices in California
Description: The project involves building a model that predicts median house values in Californian districts. You will be given metrics such as population, median income, median housing price, and so on for each block group in California. Block groups are the smallest geographical unit for which the US Census Bureau publishes sample data (a lock group typically has a population of 600 to 3,000 people). The model you build should learn from this data and be able to predict the median housing price in any district.
Concept covered: Techniques of Machine Learning
Case Study 1: Predict whether the houses will be purchased or not by the consumers, from the given dataset, provided with their salary and age
Project 1: In reference to the above problem statement, what issues can be observed in the plot generated by the code?
Project 2: What is the estimated cost of the houses with areas 1700 and 1900?
Concept covered: Data Preprocessing
Case Study 2: Using the information provided in the dataset, demonstrate the methods to handle missing data, categorical data, and data standardization
Project 3: Review the training dataset (Excel file). Observe that weight is missing for the fifth and eighth rows. For the mentioned rows, what are the values computed by the imputer?
Project 4: In the tutorial code, find the call to the Imputer class. Replace the strategy parameter from “mean” to “median” and rerun it. What is the new value assigned to the blank fields Weight and Height for the two rows?
Project 5: In the code snippet given below in the tutorial, why does the array X have 5 columns instead of 3 columns as before?
Case Study 3: Demonstrate how to reduce data dimensions from 3D to 2D using the information provided
Project 6: What does the hyperplane shadow represent in the PCA output chart on random data?
Project 7: What is the reconstruction error after PCA transformation? Give interpretation.
Concept Covered: Regression
Case Study 4: Demonstrate how to reduce data dimensions from 3D to 2D using the information provided
Project 8: Modify the degree of the polynomial from Polynomial Features (degree = 1) to 1, 2, 3, and interpret the resulting regression plot. Specify if it is under fitted, right-fitted, or overfitted?
Project 9: Predict the insurance claims for age 70 with polynomial regression n with degree 2 and linear regression.
Project 10: In the code snippet given below in the tutorial, why does the array X have 5 columns instead of 3 columns as before?
Case Study 5: Predict insurance premium per year based on a person’s age using Decision Trees using the information provided in the dataset
Project 11: Modify the code to predict insurance claim values for people over 55 years of age in the given dataset.
Case Study 6: Generate random quadratic data and demonstrate Decision Tree regression
Project 12: Modify the max_depth from 2 to 3 or 4, and observe the output.
Project 13: Modify the max_depth to 20, and observe the output
Project 14: What is the class prediction for petal_length = 3 cm and petal_width = 1 cm for the max_depth = 2?
Project 15: Explain the Decision Tree regression graphs produced when max_depths are 2 and 3. How many leaf nodes exist in the two cases? What does the average value represent these two situations? Use the information provided
Project 16: Modify the regularization parameter min_sample_leaf from 10 to 6, and check the output of Decision Tree regression. What result do you observe? Explain the reason.
Case Study 7: Use Random Forests to predict insurance per year based on the age of a person.
Project 17: What is the output insurance value for individuals aged 60 and with n_estimators = 10?
Case Study 8: Demonstrate various regression techniques over a random dataset using the information provided in the dataset
Project 18: The program shows a learning process when the values of the learning rate η are 0.02, 0.1, and 0.5. Interpret these charts.
Project 19: The program shows the learning process when the values of the learning rate η are 0.02, 0.1, and 0.5. Try modifying the values to 0.001, 0.25, and 0.9 and observe the output. Give your interpretation.
Concept Covered: Classification
Case Study 9: Predict if the houses will be purchased by the consumers, given their salary and age. Use the information provided in the dataset
Project 20: Typically, the nearest_neighbors for testing class in KNN has the value 5. Modify the code with the value of nearest_neighbours to 2 and 20, and note down your observations.
Case Study 10: Classify the IRIS dataset using SVM, and demonstrate how Kernel SVMs can help classify non-linear data.
Project 21: Modify the kernel trick to linear from RBF to check the type of classifier that is produced for the XOR data in this program. Interpret the data.
Project 22: For the Iris dataset, add a new code at the end of this program to produce a classification for RBF kernel trick with gamma = 1.0. Discuss the result.
Case Study 11: Use Decision Trees to classify the IRIS flower dataset. Use the information provided.
Project 23: Run decision tree on the IRIS dataset with max depths of 3 and 4, and display the tree output.
Project 24: Predict and print class probability for Iris flower instance with petal_len 1 cm and petal_width 0.5 cm.
Case Study 12: Classify the IRIS flower dataset using various classification algorithms. Use the information provided.
Project 25: Add Logistic Regression classification to the program and compare classification output to previous algorithms?
Concept Covered: Unsupervised Learning with Clustering
Case Study 13: Demonstrate the Clustering algorithm and the Elbow method on a random dataset.
Project 26: Change the number of clusters k to 2, and record the observations.
Project 27: Modify the n_samples from 150 to 15000 and the number of centers to 4 with n_clusters as 3. Find the output, and record the observations.
Project 28: Change the code to set the n_samples from 150 to 15000 and the number of centers to 4, keeping n_clusters at 4. Find the output.
Project 29: Modify the number of clusters k to 6, and record your observations.
The prerequisites for this Machine Learning course in Mumbai are:
Simplilearn provides a free Python course along with the Machine Learning course to help you brush up your knowledge of statistics and mathematics concepts.
As per the survey conducted by Payscale, it is found that the average salary of Machine Learning Engineers in Mumbai is Rs 1,047,479 per annum. It can increase significantly for professionals taking Machine Learning training.
There are many roles belonging to the Machine Learning domain in Mumbai such as:
Machine Learning professionals are in high demand in Mumbai nowadays with companies like Morgan Stanley, Accenture, Ubisoft, Sutherland, JP Morgan Chase among the many creating opportunities for them.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in the Machine Learning in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
You can enroll in this Machine Learning certification course on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
Please contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.
* The Machine Learning projects have been built leveraging real publicly available data sets of the mentioned organizations.
Simplilearn combines a blended learning approach with hands-on exercises, industry projects, and integrated labs to give you a rich learning experience. Our Machine Learning course in Mumbai includes a cutting-edge curriculum curated by industry experts to help you develop job-ready skills. Only a few other institutes offer such hands-on learning with capstone projects.
Simplilearn’s Machine Learning course in Mumbai can be accessed online and taken anytime anywhere. We save your time and effort which you would otherwise spend in reaching a physical location.
Any professional working at an intermediate level and willing to start a career in machine learning can take this course. It is also appropriate for data scientists, data analysts, business analysts, and information architects.
The technology sector is growing rapidly in Mumbai with many companies offering job opportunities in the field of machine learning. The job market has never been so competitive before and taking Machine Learning training is a wise decision for your career growth and to stay ahead of your peers.
If you are embarking on a career in machine learning, you should develop skills like statistics, basic programming, core mathematics, machine learning algorithms, libraries, and neural networks. Our Machine Learning course in Mumbai will help you build all these skills.
You get the benefit of learning hands-on tools like Python, XGBoost, Pandas, and TensorFlow when you enroll in Simplilearn’s Machine Learning course in Mumbai.
There are two training modes available for our Machine Learning course in Mumbai. The first is self-paced learning in which the learner gets access to high-quality pre-recorded videos, projects, and simulation tests. The other is the online Bootcamp mode in which a learner can attend live online classroom training by top instructors apart from the materials offered in self-paced mode.
You will learn about some of the widely used machine learning algorithms like classification, decision trees, Naive Bayes, support vector machine (SVM), AdaBoost, Apriori, and clustering through our Machine Learning course in Mumbai.
Machine learning is a complex field and learners need to be technically sound to start a career in it. So, a good Machine Learning course is something that involves not only theoretical concepts but one that focuses more on practical learning. It should include interactive quizzes, case studies, real-world industry projects, advanced machine learning tools, and virtual labs to enhance the learner’s knowledge and make him ready for a machine learning job.
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 to learn for themselves.
Machine learning is generally divided into three types - Supervised Learning, Unsupervised Learning, and Reinforcement Learning. This Machine Learning course gives you an in-depth understanding of all these three types of machine learning.
Yes, some coding knowledge is required to perform certain machine learning tasks like statistical analysis. Basic knowledge of either Python, R, or Java is recommended before taking this Machine Learning certification course.
Machine learning is one of the most in-demand career fields today. Present-day applications like driverless cars, facial recognition, voice assistants, and ecommerce recommendation engines are powered by machine learning. This field will be relevant going forward and professionals entering it can fetch lucrative salaries. As a first step, you can take our machine learning online course and learn everything from scratch.
Having a Machine Learning certification will help you gain the necessary knowledge and training to shape your career in an AI-led future and deal with machine learning problems.
Some of the top job roles in the field of Machine Learning are Data Scientist, Machine Learning Engineer, NLP Scientist, Computer Vision Engineer, and Data Architect. This Machine Learning course gives you all the necessary skills to become eligible for such roles.
Machine learning has gained global traction and many are aspiring to start a career in this field. Jobs in AI and machine learning have grown around 75 percent over the past few years and Gartner predicts that there will be 2.3 million jobs in the field by 2022. Our Machine Learning course will give you all the necessary skills to work in this exciting field.
The roles and responsibilities of Machine Learning Engineers include:
A Machine Learning Engineer is expected to be skilled in areas like core math, statistics, basic programming, data modeling, neural networks, natural language processing, ML tools and libraries, and more. Our Machine Learning course will impart all of these skills and make you job-ready.
Artificial Intelligence is a broad field that encompasses everything that involves giving machines human-like intelligence. Machine learning is an important subset of AI where machines are given a lot of input data and algorithms are applied to train it and give them the ability to ‘learn’ and perform the desired actions. Our Machine Learning course deals with this topic in detail.
Simplilearn’s Machine Learning certification course is designed by subject matter experts who know what skills are most valued by employers. Topics like types of machine learning, time series modeling, regression, classification, clustering, and deep learning basics are thoroughly covered, and allow you to start a career in this field.
Simplilearn’s Machine Learning course is based on a robust syllabus that equips you with extensive knowledge of machine learning concepts and trains you to:
Upon completing a lesson, learners are taken through practice sessions to understand concepts better and gain practical knowledge. Additionally, the course offers fundamental courses like ‘Math Refresher’ and ‘Statistical Essential for Data Science’ for those who lack the basic knowledge required to take this course.
Simplilearn’s Machine Learning course offers additional benefits such as:
Professionals who take this Machine Learning course do not stop their learning and are inspired to learn more advanced machine learning concepts and seek to understand advanced AI and machine learning concepts as well. Simplilearn’s Post Graduate Program in AI and Machine Learning in partnership with the prestigious Purdue University is ideal for this purpose.
Simplilearn’s machine learning course enables you to learn all the machine learning concepts systematically. The course is easy to understand and allows you to align theoretical knowledge with practical knowledge related to Machine learning. The course is best suited for the ones who have prior knowledge of Statistics, Mathematics, Python programming and want to explore career options in machine learning.
Industries that use machine learning extensively are transportation, healthcare, finance, agriculture, retail, and customer service. By pursuing the right Machine learning course, you can easily find jobs in these industries and have a highly fulfilling career ahead of you.
Companies commonly hire engineers with machine learning certifications are Amazon Web Services, Databricks, Dataiku, Google Cloud, IBM, MathWorks, Microsoft Azure, RapidMiner, SAS, and TIBCO.
While taking this machine learning training, you can refer to the following books for a more comprehensive learning experience:
Professionals with machine learning certification earn an average salary of $113,425 in a year.
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