MuLx10

%matplotlib inline

import warnings
import numpy as np
import pandas as pd
import scipy.stats as st
import statsmodels as sm
import matplotlib
import matplotlib.pyplot as plt

MuLx10

import base64
import pandas as pd
from IPython.display import HTML

def create_download_link( df, title = "Download CSV file", filename = "submission.csv"):
    csv = df.to_csv(index = False)
    b64 = base64.b64encode(csv.encode())
    payload = b64.decode()
    html = '<a download="{filename}" href="data:text/csv;base64,{payload}" target="_blank">{title}</a>'
    html = html.format(payload=payload,title=title,filename=filename)

MuLx10

## Sublime Text 3 Serial key build is 3103

—– BEGIN LICENSE —–
Michael Barnes
Single User License
EA7E-821385
8A353C41 872A0D5C DF9B2950 AFF6F667
C458EA6D 8EA3C286 98D1D650 131A97AB
AA919AEC EF20E143 B361B1E7 4C8B7F04
B085E65E 2F5F5360 8489D422 FB8FC1AA

wassname

import tensorflow as tf
import numpy as np


class TensorBoardLogger(object):
    """
    Log scalar and histograms/distributions to tensorboard.
    
    Usage:
    ```

tsaqib

Ideas

I have collected and moderated these ideas from various public sources and put into one place so that problem solvers and solution developers may find inspirations. Because I wish to update it regularly, I have setup as a single page wiki. You may try these ideas on hackathons/competitions/research; some are quite intense problems and some are not. Many of the problems were prepared keeping Dhaka/Bangladesh in mind, but of course can be applied to just about any underdeveloped/developing and sometimes developed countries.

Categories:

• Eradicate Extreme Poverty and Hunger
• Education
• Healthcare
• Governance