What you would learn in Hands On: Data Science & Machine Learning with Python 3 course?
Are you ready to change your career to become a Data Scientist?
This course is your guide on harnessing powerful Python to analyze data, design stunning visualizations, and apply advanced machine-learning algorithms!
Data science is among the best professions to prosper in the coming century. It is digital, programming-oriented, and analytical. It is no surprise that the demand for data scientists is growing in the job market.
Data Scientist has been ranked the top career in the world by Glassdoor, and the median salary of data scientists is more than $20,000 across the United States, according to Indeed! Data Science is an exciting job that lets you tackle some of the most intriguing challenges!
But, the supply of data scientists is minimal. It's challenging to gain the necessary skills to get a job as a data scientist.
The course was designed for novices with some programming knowledge or experienced developers who want to jump into Data Science!
The comprehensive course is similar to Data Science Bootcamp, which typically has a price tag of thousands, but you'll be able to get all the information you need at only a fraction of the cost! With more than 50 HD videos and detailed code notebooks to accompany each lecture, this is the most comprehensive course for machine learning and data science on Udemy!
We'll show you how to program using Python, make stunning data visualizations, and utilize Machine Learning with Python! Here are just a few of the topics we'll be covering:
Programming using Python
NumPy and Python
Pandas Data Frames to complete complex problems
Make use of pandas to manage Excel Files
Use seaborn and matplotlib to display data
Machine Learning is made possible by SciKit Learn, including:
K's nearest neighbors
K is a short form for Clustering
The Vector Support Machines and lots more!
Be a Data Scientist and be employed
The core of Artificial Intelligence
the life cycle of the Data Scientist
The work of AI models
Hands-on Working on ML projects
Ways of Data Visualization
Make use of Python to perform Data Science and Machine Learning
Implement Machine Learning Algorithms
Learn how to make use of NumPy to analyze Numerical Data, Pandas for Data Analysis, Matplotlib for Python Plotting, Seaborn for statistical plots, SciKit-Learn to AI Models
Logistic Regression, Linear Decision Trees Support Vector Machines K-Nearest Neighbors K Means Clustering DBSCAN
Make sure you have high-demand knowledge of data science. Python programming using NumPy pandas, Matplotlib along with Seaborn, Machine Learning Models
Make an impression on interviewers by demonstrating an appreciation of the field of data science.
Learn to process data, comprehend the mathematical concepts that underlie Machine Learning, and Apply your knowledge to real-world business scenarios
Enhance Machine Learning algorithms by studying underfitting, overfitting, and training validation Cross validation n-fold, testing.
Learn to code with Jupiter Notebooks
Get a clear understanding of the many Machine Learning models, accurate predictions, and robust analysis. Develop solid Machine Learning models.
Bring value-added value to your company.
Create an army of strong Machine Learning models and know how to mix the models to solve any issue
Learn to process clean data and analyze large amounts of data.
Create a portfolio of your work to include on your resume
Unsupervised and Supervised Learning
A selection of Data Science and Machine Learning projects to be applied in the field, complete with notebooks and codes.
Implement the concepts and concepts that you have learned in this course in the real world by using data sources
Download Hands On: Data Science & Machine Learning with Python 3 from below links NOW!
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