No need to panic now, here it will let you understand the concepts of Machine Learning. You will get the explanation of a particular topic including implementation, application, significance, and how it can be helpful for the coming generation within a proper manner. Also, there are codes implemented in it as well. Codes are provided with a high-quality explanation with each statement. By the end of this, you will be able to predict the outcomes, through your code, by analyzing the data given to you. Day-by-day you can meet with additional information updated in our blog section...
Scikit learn library
"Once you get stick to it,
you will be lost in it"
1. Linear Regression
Simple Linear Regression
Multiple Linear Regression
2. Logistic Regression
3. K-Nearest Neighbor
4. K-Means Clustering
This includes among the most essential libraries to make our programs shorter. Scikit-Learn is prominent for installing ML models of linear regression, logistic regression, etc. It provides input datasets for easy access. It helps to split data into a single statement.
It is an integrable part of developing integral parts of ML. It allows us to create N-dimensional array objects, perform linear algebra, and much more. Most deep learning libraries use NumPy as their model datatype for tensors.
It is a visualization library used to display your training data or your output data. This library is in competition with Seaborn, but I personally prefer Matplotlib due to experiences.
It is a manipulation of data and analysis of the library. It is commonly used to create a specific data structure called DataFrame out of CSV/excel files. We can access data through it.
Some popular sayings
The future will be of Artificial Intelligence and Machine Learning. AIML has the potential to make it possible what in human history was thought to be impossible.
Dr. A.K. Gupta
GLA University, Mathura
Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks.
English theoretical physicist,
English mathematician, computer scientist, philosopher
It seems probable that once the machine thinking method had started, it would not take long to outstrip our feeble powers… They would be able to converse with each other to sharpen their wits. At some stage therefore, we should have to expect the machines to take control.”
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