How to learn Data Science

I am listing down some of the very basic things that will help you to progress in your machine learning journey.. 1. Get a hold over the language to be used for implementation – practice the basics till you are comfortable. 2. Practice and become comfortable with data cleaning and processing – this is essential. … Continue reading How to learn Data Science

Understanding how deep learning works:

We know that machine learning is about mapping inputs (such as images) to targets (such as the label “cat”), which is done by observing many examples of input and targets. We also know that deep neural networks do this input-to-target mapping via a deep sequence of simple data transformations (layers) and that these data transformations … Continue reading Understanding how deep learning works:

Using Tensorboard callback from Keras

If you are working with Keras library and want to use tensorboard to print your graphs of accuracy and other variables, Then below are the steps to follow. step 1: Initialize the keras callback library to import tensorboard by using below command from keras.callbacks import TensorBoard step 2: Include the below command in your program … Continue reading Using Tensorboard callback from Keras

30 things you can do with Pandas

Hello everyone!  Today I want to write about the Pandas library and here are the 30 things you can do with Pandas to better understand the data! First thing first, lets import pandas library: import pandas as pd df=pd.read_csv('test.csv') # read a test file to dataframe (1) Read in a CSV dataset pd.DataFrame.from_csv(“csv_file”) or pd.read_csv(“csv_file”) … Continue reading 30 things you can do with Pandas

My first Introduction with GAN ( Generative Adversarial Networks )

"it’s the coolest idea of Machine Learning in the last 20 years" - Yann LeCun (one of the fathers of Deep Learning) GANs or Generative Adversarial Networks are a kind of neural networks that is composed of 2 separate deep neural networks competing each other: the generator and the discriminator. Their goal is to generate … Continue reading My first Introduction with GAN ( Generative Adversarial Networks )

My first Introduction with GAN ( Generative Adversarial Networks)

"it’s the coolest idea of Machine Learning in the last 20 years" - Yann LeCun (one of the fathers of Deep Learning) GANs or Generative Adversarial Networks are a kind of neural networks that is composed of 2 separate deep neural networks competing each other: the generator and the discriminator. Their goal is to generate … Continue reading My first Introduction with GAN ( Generative Adversarial Networks)