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Simple Tensorflow example on iris dataset

This one trains the DNN on iris and also create confusion matrix. Comments will help you know what is happening.

===

#imports

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split

# Load data

# Download it from here : https://archive.ics.uci.edu/ml/datasets/iris. Ensure that the categories are #labeled as Iris-setosa, Iris-virginica, Iris-versicolor and their column name as Species.
iris = pd.read_csv("irisdata.csv")

# explore what is loaded
#print(iris.shape)
#print(iris.head)

# Convert the data type of columns to float32 type

#print(iris.dtypes)

#print(iris.iloc[:,0:4])
iris.iloc[:,0:4] = iris.iloc[:,0:4].astype(np.float32)

#print(iris.dtypes)


# encode the classes to numeric values
iris["Species"] = iris["Species"].map({"Iris-setosa":0,"Iris-virginica":1,"Iris…
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NLP Summer School at Hyderabad

9th Advanced NLP Summer School 2018
at
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25th June - 07 July 2018

(Pre-Summer School 22nd-24th June 2018)


The ninth IIIT-H Advanced Summer School on NLP (IASNLP-2018) will be held
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Interested candidates may apply through ONLINE PORTAL from 27 April 2018 to
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http://ltrc.iiit.ac.in/iasnlp2018/


Confirmation to selected candidates will be sent by 5th June 2018.


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Data Science Jobs

I keep on getting requirements for interns/candidate for jobs in the areas of NLP, Machine Learning, AI, Data Science from companies (actually friends working there, most of them lead these teams).

Mostly such requirements that come to me, need candidates with strong technical skills in these areas and they prefer to recruit fresh/brialliant/0-1 year exprnc candidates. There are some with more than that experience requirements also.

I don't do it for any commercial purpose and my intentions are to just help my friends and people looking for jobs in these areas.

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Serial No. 1
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