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Machine learning is one of the most prominent data science approaches. Machine learning differs from other computer-assisted decision-making methods in that it uses data to create prediction algorithms. Machine learning is used in a variety of products, including the postal service’s handwriting readers, speech recognition, movie recommendation systems, and spam detectors. You’ll learn about training data and how to utilize it to find potentially predictive associations in a batch of data. You’ll learn how to train algorithms using training data as you develop the movie recommendation system, so you can anticipate the outcome for future datasets. You’ll also learn about overtraining and how to avoid it using approaches like cross-validation. Machine learning requires all of these abilities.
The future of technology lies in Data Science and Machine Learning. Learn from experienced faculty and get placed in top industries by getting the certification on successful completion of the best data science course by Niralee. It is specially curated for students and also has career guidance and excellent mentorship sessions.
Qualify for jobs like Business Analytics Manager or Data Engineer that command respect and excellent salary packages. Master cutting-edge tools and technologies needed for data science jobs like Python, NUMPY, Minitab, and Excel. Advance your career in data science and analytics with real-life industry case studies and databases.
Data Science is required by businesses of all sizes to make decisions, analyses market trends, reduce losses, and increase profits.
Land a job of your dreams after completing our Data Science course. You will be assisted by our placement team at every step of your job search.
A one-on-one career mentoring session that is tailored to your specific needs.
Enhancing your profile, conducting practice interviews, and receiving regular feedback are all that we provide.
Get simple financing options with no hidden fees and a 0% interest rate.
This Data science with machine learning curriculum ensures 100% placement with a competitive package. Level up your career growth with our Data science with machine learning program today.
Our placement stats
Maximum salary hike: 260% | Average salary hike: 90% | Placement success rate: 92% |
Highly Recommended program for recent graduates
Features | Other institutes | Niralee.com |
1 on 1 mentorship | ❎ | ✅ |
Internship opportunity | ❎ | ✅ |
100% Job guarantee | ❎ | ✅ |
Advanced hands-on course | ❎ | ✅ |
Dedicated support team | ❎ | ✅ |
Doubt sessions | ❎ | ✅ |
Hackathons | ❎ | ✅ |
Portfolio building | ❎ | ✅ |
Affordable fees | ❎ | ✅ |
Confused about Data science with machine learning program, Career, Jobs Growth? Talk to Our Certified Career Experts Guidance Today!
Take part in the top Data science programme at a low cost. Our programme is meant to expose you to real-world industry issues while also preparing you to be more capable and better than the competition. Take advantage of this opportunity and enrol in the programme right away.
Data Scientist is a person who is better at statistics and software engineering than any statistician. They are in charge of extracting insights from enormous amounts of organised and unstructured data in order to mould or meet specific business needs and objectives. As businesses rely more heavily on big data and data analytics to drive decision-making, the data scientist job in data analysis is becoming increasingly vital.
Full stack web developers are the fourth most in-demand rising professional role, according to the World Economic Forum.According to NASSCOM, the Indian IT/ITeS industry would grow to USD 350 billion by 2025, resulting in an increase of 2.5-3 million job possibilities!
Key Highlights of our program
Projects/assessment :
Installation of the required tools
Introduction to python programming
Python Libraries
Assessment 1:
Find factorial of a number using python
Skills: Basic Python
Assessment 2:
Work on Startup Data- Perform various visualisation & Statistical techniques using pythonSkills: Python Libraries
Descriptive statistics:
Inferential Statistics:
Hypothesis Testing
Assessment 3:
Perform Statistical analysis to sample data and get insights
Skills: Basic Statistical analysis
Assessment 4:
Work on the same data above and get insights.Skills: Advanced Statistical analysis
Assessment 5:
Work on the same data above and get insights.
Skills: Matplotlib & Seaborn
Data Manipulation
Project 1 :
Work on Startups Data and perform EDA & Feature Engineering Techniques
Skills: EDA & Feature Engineering Techniques
Supervised machine learning
Regression
Classification
Validation and evaluation and models UnSupervised learning
Project 2 :
Predict profit of a startup company
Skills: Regression analysis
Project 3 :
Survival Analysis – Diabetes Prediction ( Apply all algorithm’s and find best accurate model )
Skills: Classification
Project 4:
Work on Mall Customers data and cluster the data.
Skill: Clustering
Introduction to Neural Networks
ANN:
CNN
Introduction to Recurrent Neural Networks
Project 5:
Employee Churn Prediction
Skills: ANN, Keras, Tensorflow
Project 6:
Build a gesture recognition system
Skills: CNN
Project 7:
Predictive maintenance for airlines
Skills: RNN
Project 8:
Detecting tables and graphs in pdf files
Skills: Open CV
Introduction to natural language processing
Project 9:
Restaurant reviews analysis
Skills: NLP
SQL
Tableau
Project 10 (a)
Perform CRUD operations with My SQL
Skills: SQL
Project 10 (b)
Perform analysis on bank data using tableau
Skills: Tableau
You need an undergraduate or graduate degree in a related field, such as business information systems, computer science, economics, information management, mathematics, or statistics, to work as a data scientist.
Indeed, a job in data science offers excellent prospects for future progression. Data Scientist has been dubbed “the most promising career” by LinkedIn because of the high demand, excellent salary, and abundance of benefits.
If you want to enter into the data science field, some suitable majors to choose from are statistics, mathematics, computer science, physics, and business administration.
In addition to having a solid background in math and statistics, data scientists also need to be adept in complex statistical modelling software and have a solid understanding of programming.
In India, the beginning salary for a data scientist is approximately INR 4.5 Lakhs (or 37.5k) per year. For a Data Scientist, one year of experience is the absolute minimum.
Data science is a challenging subject. There are various causes for this, but the main one is that it needs a diverse range of abilities and information. Math, statistics, and computer science are the three main components of data science. Linear algebra, probability theory, and statistical theory are all part of math.
Organisations and recruiters are seeking data scientists more than ever. Businesses of all sizes and locations believe they need data scientists to create AI models as AI becomes more and more prevalent in the workplace.
Srishti homes.(Nulife Apartment).
FLAT NO.503. Fifth Floor.
H.NO.7-1-621/552/2/503.
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S.R.Nagar. Hyderabad.
PIN.500038.
Dist.Hyderabad.
State. Telangana.
ORG CODE – NWMJY
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