A couple of months back I have completed Deep Learning Specialization taught by AI guru Andrew NG. During the learning process, I have made personal notes from all the 5 courses. Notes are based on lecture video and supplementary material provided and my own understanding of the topic. I have used lots of diagrams and code snippets which I made from… Read More »
Graph Implementation – Adjacency list We’ve used dictionaries to implement the adjacency list in Python which is the easiest way. To implement Graph ADT we’ll create two classes, Graph, which holds the master list of vertices, and Vertex, which will represent each vertex in the graph. Each Vertex uses a dictionary to keep track of… Read More »
Bubble Sort Implementation The bubble sort makes multiple passes through a list. It compares adjacent items and exchanges those that are out of order. Each pass through the list places the next largest value in its proper place. In essence, each item “bubbles” up to the location where it belongs. Regardless of how the items… Read More »
Computes the cumulative sum – Recursion Aim is to write a recursive function which takes an integer and computes the cumulative sum of 0 to that integer. For example, if n=4 , return 4+3+2+1+0, which is 10. We always should take care of the base case. In this case, we have a base case of… Read More »
Contd.. from last post Array Pair SumArray Pair Sum Given an integer array, output all the unique pairs that sum up to a specific value k. So the input: sum_arr_uniq_pairs([1,2,2,3,4,1,1,3,2,1,3,1,2,2,4,0],5) would return 2 pairs: (2,3) (1,4) Find a missing element in an array/list Consider an array of non-negative integers. A second array is formed by… Read More »
Recently I have started using Python in a lot of places including writing algorithms for MI/data science, so I thought to try to implement some common programming problems using data structures in Python. As I have mostly implemented in C/C++ and Perl. Let’s get started with a very basic problem. Anagram algorithm An algorithm will… Read More »
Choropleth maps are a great way to represent geographical data. I have done a basic implementation of two different data sets. I have used jupyter notebook to show the plots. World Power Consumption 2014 First do Plotly imports import plotly.graph_objs as go from plotly.offline import init_notebook_mode,iplot init_notebook_mode(connected=True) Next step is to fetch the dataset, we’ll use… Read More »
Personal notes which I made during Andrew NG’s Stanford Machine learning class. Check this: https://github.com/ppant/MI-Class-Standord/blob/master/personal_notes.txt I am updating notes weekly. Stay tuned.
Andrew NG Machine learning class is the best class so far which I took online. Apart from the course video sometimes lecture slides are also important for quick reference. For quite some time, I was looking for them as they are not available on course home. Here all the lecture slides available at: https://d396qusza40orc.cloudfront.net/ml/docs/slides/Lecture1.pdf Lecture2.pdf Lecture3.pdf Lecture4.pdf and so… Read More »
Brief notes of my learning from course project of getting and cleaning data course from John Hopkins University. The purpose of this project is to demonstrate the ability to collect, work with, and clean a data set. Final goal here is to prepare tidy data that can be used for later analysis. One of the most exciting areas… Read More »