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)

Creating Word Vectors with word2vec and reduce dimensionality using TSNE and Visualizing it using Bokeh

Word embeddings are a modern approach for representing text in natural language processing. Embedding algorithms like word2vec and GloVe are key to the state-of-the-art results achieved by neural network models on natural language processing. In this blog, I will show how to train and load word embedding models for natural language processing applications in Python … Continue reading Creating Word Vectors with word2vec and reduce dimensionality using TSNE and Visualizing it using Bokeh