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Python for Data Science
Dig: Major steps in Data Science Hello friends, on this page I will share some important links, information useful for those who wants to...
Jul 6, 20206 min read
Deep Learning
Dig: Apply Deep Learning models to gain insights from the Data Introduction Good sources, courses to start with Deep Learning (comming...
Jul 6, 20202 min read
Data & Mathematics
In this post I will introduce some of the important terms and concepts in mathematics that you may encounter in your Data Science...
Jul 6, 20203 min read
End to end detection and segmentation of the nuclei in divergent images
In the this article we will briefly take a look at the functioning of U net for the segmentation purpose. I have given important...
Jul 6, 20202 min read
Automatic image tilt detection using Canny edge and Hough lines and correction
In this article we will take a look at finding during tilt angle detection of an image using Canny edges detection and Hough lines...
Jul 6, 20205 min read
Use of Numpy random seed and random_state in train_test split function
In this article we will take a look at following points: numpy random seed function? results. After every execution of code how to get...
Jul 6, 20202 min read
Auto-complete feature in Jupyter notebook
Many of the data scientists don’t know how to use the auto-complete option in Jupyter notebook. It is very useful feature and will surely...
Jul 6, 20202 min read
Use of Numpy random seed and random_state in train_test split function
In this article we will take a look at following points: numpy random seed function? results. After every execution of code how to get...
Jul 6, 20202 min read
Residual neural Network (ResNet)
In this article we will look at the working of the ResNet (Deep Residual Learning for Image Recognition Paper). What is vanishing...
Jul 6, 20203 min read
Access data in Power BI from Jupyter notebook
In the previous article we saw how to implement a prediction model in Power BI using Python. Their we generated input training, testing...
Jul 5, 20201 min read
Logistic Regression using Python in Power BI
In this article we will take a look at the implementation of Python code on Power BI. We will implement Prediction Model (the Logistic...
Jul 5, 20203 min read
Anything and Everything in Deep Learning
Deep Learning (Deep Neural Networks) Probabilistic Graphical Models Machine Learning Fundamentals Natural Language Processing...
Jun 30, 20201 min read
Data Imputing in time series
In this article I am going to explain important and useful techniques to fill the missing values in table of features. These techniques...
Jun 13, 20202 min read
Introduction to time series
In this short article we will take a look at the time series, time series analysis and also time series forecasting in a brief. We will...
Jun 13, 20205 min read
Important points to consider while developing a data science project
In this article we will take a look at important terms that we should know to start with Machine Learning or deep learning projects....
Jun 13, 20204 min read
Broadcasting in Python
In this article I will explain Broadcasting in Python, related issues, assertion statement. The source for this article is from Course 1...
Jun 13, 20202 min read
Vectorization in machine learning
In this article we will try to understand this term Vectorization and also why its important in Machnine Learning or Deep Learning to use...
Jun 13, 20201 min read
Important Machine Learning Regression Algorithms You must to Know
Quick! Name five machine learning algorithms (actually try to do it). Chances are that not very many of them are regression algorithms....
Jun 12, 20206 min read
Free good sources to learn Machine Learning
In this article I will list out the useful sources from where you can learn more about Machine Learning. Before that just to revise take...
Jun 12, 20202 min read
Introduction to Machine Learning
On this page I am going to share some important concepts, implementation of code for the better understanding of Machine Learning. We...
Jun 12, 20203 min read
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