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26-weeks-of-data-science's Introduction

Hi, I am Mayuresh, co-founder of GreyAtom redefining the way people learn technology. Previously, co-founded Customer360, which was venture backed and later acquired by Interactive Intelligence (NASDAQ: ININ) in 2015. I am based in Mumbai, India🇮🇳. Besides programming, I am a foodie.

I believe

Maths is the ONLY Language

Here are some ideas to get you started:

  • 🔭 I’m currently working on GreyAtom
  • 🌱 I’m currently learning React
  • 💬 Ask me about product, marketing, user experience
  • 📫 How to reach me: mail
  • ⚡ Fun fact: I run DataGiri

I excel at assessing market needs and building organizational capabilities in order to help define the organization’s strategic thrust, future goals, and product/service offerings. I can set direction, mobilize the support of teams and drive for results.

I have bootstrapped for 3-member founder teams - to work in companies sized 100,000+ people. Experienced in raising funds from Angels and VCs. I have seen the life-cycle of businesses from inception to successful exit multiple times. I have worked and experienced different aspects of business - strategic, commercial, people, creative, financial and delivery.

I have worked in Healthcare for 6 years (Pharma/ Payor/ Provider), B2B SaaS for 4 Years and EdTech for 4 Years. I can mix Data Science, Technology, Learning, and User Experience to build products for all stakeholders. In the future, focus is EdTech. Specifically, on building products for Learners that create impact for learners and drive financial for businesses.

Find more here

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26-weeks-of-data-science's Issues

Issue with an example used for Map function. Week 2.

The issue is with the following code:

`def fahrenheit(T):
return ((float(9)/5)T + 32)
def celsius(T):
return (float(5)/9)
(T-32)

temp = [0, 22.5, 40,100]
F_temps = map(fahrenheit, temp)

When the output is enquired by taking the map entities in a list. It is empty

map(celsius, F_temps)

in order to see the elements

C_temps=map(celsius, F_temps)
l2=[i for i in C_temps]
`

Week 4 - .mean() error

the code in the mean_temperatures is wrong:
0 # One Solution
1 mean_temperatures = {}
2
3 for month in range(1, 13):
4 mean_temperatures[month] = weather_df.loc[weather_df['Date/Time'].dt.month == month, 'Temp (C)'].mean()
5
6 pd.Series(mean_temperatures)

Code in line 4 should be: mean_temperatures[month] = weather_df.loc[pd.to_datetime(weather_df['Date/Time']).dt.month == month, 'Temp (C)'].mean()

Issue in Mini Challenge 1 of Week 5

Problem statement says : Create a graph for y = sin(x). X values should be from 0 to 10, incrementing in steps of 0.1

Solution provided for this in Week 6 is
def sine_wave():
'''Write your code here'''
series = np.linspace(-np.pi,(np.pi)+1)
sne = np.sin(series)
plt.plot(sne)
plt.xlabel('X')
plt.ylabel('Y')
plt.title('sin x')
plt.show();
sine_wave()

What about the below solution -
def sine_wave():
'''Write your code here'''
series = np.arange(10, step=0.1)
sne = np.sin(series)
plt.plot(sne)
plt.xlabel('X')
plt.ylabel('Y')
plt.title('sin x')
plt.show();
sine_wave()

Why series = np.linspace(-np.pi,(np.pi)+1) is like this instead of series = np.arange(10, step=0.1)

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