Data Science with Python

1. What is Big Data, Analytics,Data Science,Artificial Intelliegence(AI) ,Neural Networks, Machine Learning and it's differences?
2. Which languages to use Python, R and SAS? what is it's market and job share? Ans. Might be 57%,38%,5% respectively
3. Which tool to use for python? Python terminal or Jupytor Notebook or Spyder or Pycharm? Ans.Depends on organisation usually it would be either Jupytor Notebook or Spyder or ycharm.
4. What are the Real world problem types in Data Science? Ans.Classification, Regression and Clustering.
5. What is Kaggle? Ans. It is Data Science competition platform to solve business problems of different organisations.What is Titanic data set? Ans. It is popular data set to start with.
6. Roles and responsibilities of Data Science jobs.
7. Beside Python, which other tools like SQL or HIVE needed? Ans. It could be either.
8. Which tools are used in Business? Tableau or qlikview or PPT? It could be either.
9. Which Deployment tools to use? AWS or Azure or GC? Usually Aws or azure. Which is more popular AWS or Azure? AWS.

5 How to load your data to Python Server

Dear Friends,

Please go through my video below.

https://www.youtube.com/watch?v=IiNIxAgDYDg


Please post comment if you have any queries. I glad to assist you.

Please subscribe to my channel.

Press bell button to receive notification for new videos and like the video if like it.

4 Why do we have 3 csv data files

Dear Friends,

Please go through my video below.

https://www.youtube.com/watch?v=znnsCPPYOHU&feature=youtu.be

Please post comment if you have any queries. I glad to assist you.

Please subscribe to my channel.

Press bell button to receive notification for new videos and like the video if like it.

3 How to download titanic data set from kaggle website.

Dear Friends,

Please go through my video below.

https://www.youtube.com/watch?v=a8I_NhYZljo&feature=youtu.be

Please post comment if you have any queries. I glad to assist you.

Please subscribe to my channel.

Press bell button to receive notification for new videos and like the video if like it.

2 How to check python version and opening notebook

Dear Friends,

Please go through my video below.

https://www.youtube.com/watch?v=tKUzlwOFtvQ&feature=youtu.be

Please post comment if you have any queries. I glad to assist you.

Please subscribe to my channel.

Press bell button to receive notification for new videos and like the video if like it.

1 How to Install Anaconda especially on Windows 10

Dear Friends,

Please go through my video below.

https://www.youtube.com/watch?v=n5ojYbnKuD4

Please post comment if you have any queries. I glad to assist you.

Please subscribe to my channel.

Press bell button to receive notification for new videos and like the video if like it.

How to write a csv file in python?

# This is tested on Jupytor Notebook.
# Note: Ensure the data frame name is df which is loaded into your python notebook. 

# Importing the packages
import pandas as pd

# Write to file
def write_file(df):       
    df.to_csv('df_results.csv',index = False)

# Calling the method
df = write_file(df)

# This write the results of df into file name df_results.csv

How to read a csv file in python?

# This is tested on Jupytor Notebook.
# Note: Ensure the data frame name is df which is loaded into your python notebook.

# Importing the packages
import pandas as pd

# Read from file
def read_file(file_name):
    df = pd.read_csv(file_name,error_bad_lines=False)
    return df

# Calling the method
df = read_file('df.csv')

# Display first 5 records
df.head()

# Check size of the data frame
df.shape

Write a Python method to read from csv file.

# This is tested on Jupytor Notebook.
# Note: Ensure the file name is 'df.csv' which is loaded to your present directory.

# Importing the packages
import os
import pandas as pd

# Read from file
def read_file(file_name): 
    df = pd.read_csv(file_name,error_bad_lines=False)
    return df

# Calling the method
df = read_file('df.csv')

# Display first 5 records
df.head()

# Check size of the data frame
df.shape