MACHINE LEARNING WITH PYTHON TRAINING IN MUMBAI

Python has been the most popular language for Data Science in recent years, and it is widely regarded as a strong and versatile platform for developing Machine Learning systems.
Python with Machine Learning is a course that teaches you how to develop Machine Learning algorithms from the ground up using Python.
Course Objectives for Python with Machine Learning
Python for Machine Learning (Introduction)An overview of machine learning algorithms
Python hands-on coding of common machine learning methods
Using the Python package to create Machine Learning apps Scikit-Learn is a Python library for teaching and learning.
The International Association of Business Analytics (IABAC) framework may be used to evaluate knowledge.
Prerequisites for this course. Basic programming knowledge is advised. It is recommended to have a basic understanding of statistics. Hands-on coding of common machine learning techniques on well-known data sets.

Machine Learning has taken over the mainstream industry in recent years and has matured into its own job path. In the United States alone, a fast check of employment websites reveals around 20,000 Machine Learning job openings on a daily basis. This course provides ML aspirants with a solid foundation in high-level theory and concepts, as well as hands-on coding of popular Machine Learning algorithms such as Linear and Logistic Regression, K-means clustering, SVM (Support Vector Machines), KNN (K-Nearest Neighbours), and Neural Networks.

Because this is an intermediate-level course, it is appropriate for most prospective Machine Learning applicants. Those interested in a career in Machine Learning or Data Science in general. Those who have recently graduated from college and are interested in pursuing a career in data science can contact us. Candidates interested in pursuing a career as a data scientist. Python's Machine Learning Advantages. Because the syllabus is matched with worldwide market standards, this course gives a solid foundation in Machine Learning with Python. A certification evaluation is done as part of the course, and students who get a minimum qualifying score acquire a global certification, which has enormous value as a testament to Python with Machine Learning competence.

Because the syllabus is matched with worldwide market standards, this course gives a solid foundation in Machine Learning with Python. A certification evaluation is done as part of the course, and students who get a minimum qualifying score acquire a global certification, which has enormous value as a testament to Python with Machine Learning competence.

We believe in and are very thrilled about this enormous wave of Data Science at 4Achievers Python Training in Mumbai. 4Achievers collaborates with world-renowned Machine Learning professionals in the development and delivery of training courses. As of now, there are millions of employment and business possibilities in Data Science all over the world, and this number will only grow tremendously in the next years. 4Achievers Python Training institute was formed by a group of dedicated Data Science enthusiasts with decades of experience working with Fortune 100 firms across the world in Analytics, Big Data, and Data Science. The objective of 4Achievers is to provide data science professionals with excellent data science skills that are linked with industry requirements, allowing them to participate in this amazing Data Science age.

PASSIONATE: We are committed to providing professionals with cutting-edge Data Science skills.
4Achievers is approved by the "International Association of Business Analytics Certifications (IABACTM)," ensuring that the curriculum meets the needs of the worldwide market.
HANDS-ON PROJECTS: After completing the course, qualified candidates are assigned to consulting assignments at the building block level to give real-world experience and help them acquire confidence in working on real-world Data Science projects.4Achievers is the best Python training institute in Noida, ranking first among all Python certificate programmers and data scientists. Python Data Science Training in Noida is available from 4Achievers. Students can enrol in either our Python Classroom Program for Machine Learning with Python training in Noida Branch and receive a certificate, or our Python Virtual Online Training Program for Machine Learning with Python Training in Noida and receive project training and internship. A career-oriented curriculum is available for students seeking Python Training in Noida.
JOB ASSISTANCE: The Placement Assistance Team (PAT) is responsible with assisting applicants in preparation for their first Data Science job and matching job needs to unique applicant profiles.4Achievers offers a variety of learning alternatives, including traditional classroom, virtual classroom, instructor-led online, and self-study.
DATA SCIENCE LIBRARY: A Data Science library featuring a rich collection of Data Science books and journals, as well as aided check-in/check-out options.
ACCESS TO A DATA SCIENCE LAB ON THE CLOUD: Access to a Cloud Data Science lab using popular platforms such as R, Python, and Tensorflow.

• Programming Basics
• Python Data Types
• Structures and conditional statements
• Python core packages
• Introduction to Jupyter Notebook
• Introduction to Numpy and Pandas

• Basic Statistics and Exploratory Analysis
• Descriptive summary statistics with Numpy
• Summarize continous and categorical data
• Outlier analysis

• Overview of Supervised and Unsupervised
• Machine LearningLinear Regression
• Clustering with K-means
• Naive Bayes Classification

• Advanced Data Mugging
• Outlier Analysis
• Treating for missing values
• Normalization vs Standardization of data

• Supervised Machine Learning algorithms
• K-Nearest Neighbors (KNN) concept andapplication
• Naive Bayes concept and application
• Logistic Regression concept and application
• Classification Trees concept andapplication
• Unsupervised Machine Learning algorithms

• Building and Training Machine Learning models
• Setting up the project with ML workflow.
• Data Preprocessing and statistical exploration
• Building , Training and evaluation of Machine Learning Model Hands on
• case study: Property Estimations with MLAnalysis the case study: Property
• Estimations
• Setting up the project with ML workflow.
• Data Preprocessing and statistical exploration
• Choosing the Machine Learning Algorithm for this case