Saimadhu Polamuri

Saimadhu Polamuri

Data Science Author - Dataaspirant

Bio: Saimadhu Polamuri is a self-taught data scientist and Indian blogger at dataaspirant.com on data science field. His blog dataaspirant.com was posted as best blog for data science along with LinkedIn data science group. He is more passionate and curious about data science. He believes learning means living. He has Expert fluency in Python language and he loves to code with the headset on. His spare time activity was answering questions on quora.

Classification and Clustering Algorithms

Classification and Clustering Algorithms

A famous dialogue you could listen from the data science people. It could be true if we add it’s so challenging at the end of the dialogue. The foremost challenge starts from  categorising the problem itself. The first level of categorising could be whether supervised or unsupervised learning. The next level is what kind of algorithms to get […]

2 Ways to Implement Multinomial Logistic Regression in Python

2 Ways to Implement Multinomial Logistic Regression in Python

Logistic regression is one of the most popular supervised classification algorithm. This classification algorithm mostly used for solving binary classification problems. People follow the myth that logistic regression is only useful for the binary classification problems. Which is not true. Logistic regression algorithm can also use to solve the multi-classification problems. So in this article, your are going to […]

How Does the Random Forest Algorithm Work in Machine Learning

How Does the Random Forest Algorithm Work in Machine Learning

In this article, you are going to learn the most popular classification algorithm. Which is the random forest algorithm. In machine learning way fo saying the random forest classifier. As a motivation to go further I am going to give you one of the best advantages of random forest. Random forest algorithm can use both […]

How to visualize decision trees in Python

How to visualize decision trees in Python

Decision tree classifier is the most popularly used supervised learning algorithm. Unlike other classification algorithms, decision tree classifier in not a black box in the modeling phase.  What that’s means, we can visualize the trained decision tree to understand how the decision tree gonna work for the give input features. So in this article, you […]

Handwritten digits recognition using Tensorflow with Python

Handwritten digits recognition using Tensorflow with Python

The progress in technology that has happened over the last 10 years is unbelievable. Every corner of the world is using the top most technologies to improve existing products while also conducting immense research into inventing products that make the world the best place to live. Some of these are the Amazon just walk out […]

How the Multinomial Logistic Regression Model Works

How the Multinomial Logistic Regression Model Works

In the pool of supervised classification algorithms, the logistic regression model is the first most algorithm to play with. This classification algorithm again categorized into different categories. These categories purely based on the number of target classes. If the logistic regression model used for addressing the binary classification kind of problems it’s known as the […]

How the Logistic Regression Model Works in Machine Learning

How the Logistic Regression Model Works in Machine Learning

In this article, we are going to learn how the logistic regression model works in machine learning. The logistic regression model is one member of the supervised classification algorithm family. The building block concepts of logistic regression can be helpful in deep learning while building the neural networks. Logistic regression classifier is more like a […]

Implementing Simple Linear Regression without any Python Machine Learning Libraries

Implementing Simple Linear Regression without any Python Machine ...

Simple Linear Regression implementation in Python Simple linear regression implementation in python Today we are going to implement the most popular and most straightforward regression technique simple linear regression purely in python. When I said purely in python. It’s purely in python without using any machine learning libraries. When I said simple linear regression. What is going […]

How to Save Scikit-Learn Models with Python Pickle Library

How to Save Scikit-Learn Models with Python Pickle Library

Save the trained scikit learn models with Python Pickle The final and the most exciting phase in the journey of solving the data science problems is how well the trained model is performing over the test dataset or in the production phase. In some case, the trained model results outperform than our expectation. Sometimes the trained model […]