Practical Machine Learning with Python: Building Real-World Projects
Hands-on machine learning! Construct real-world projects with Python, mastering practical applications and honing your skills in the evolving field. Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku).
Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.
More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.
In This Course, We Are Going To Work On 2 Real World Projects Listed Below:
Project-1: Toxic Comment Classification
Project-2: UK_Road_Accident_Timeseries_Forecasting
You will learn:
Learn to perform Classification and Regression modelling
Master Machine Learning and use it on the job
Use Seaborn to create beautiful statistical plots with Python.
Get set-up quickly with the Anaconda data science stack environment.
#MachineLearning #Python #Morioh
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