Ready2Code @code_ready2

Great4 #interviews! Great4 #Startups! Open4 collabs #ML #Data #finance #optimization #NLP. Code@#python (or stated otherwise). #inspire - #innovate City of London, London Joined May 2019

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙖𝙣𝙖𝙡𝙮𝙯𝙚 𝙩𝙚𝙭𝙩 𝙜𝙧𝙖𝙢𝙢𝙖𝙩𝙞𝙘𝙖𝙡𝙡𝙮 𝙖𝙣𝙙 𝙨𝙮𝙣𝙩𝙖𝙘𝙩𝙞𝙘𝙖𝙡𝙡𝙮 𝙞𝙣 𝙋𝙮𝙩𝙝𝙤𝙣 ? #NaturalLanguageProcessing or #NLP is a technique to analyze text. An example is shown below where each word is categorized e.g. noun, adjective and more.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙥𝙧𝙞𝙣𝙩 𝙝𝙤𝙧𝙞𝙯𝙤𝙣𝙩𝙖𝙡𝙡𝙮 𝙞𝙣 𝙥𝙮𝙩𝙝𝙤𝙣 ? Very simply through the use of 'end' as shown in the attached picture.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙜𝙧𝙖𝙗 𝙨𝙥𝙚𝙘𝙞𝙛𝙞𝙘 𝙘𝙝𝙖𝙧𝙖𝙘𝙩𝙚𝙧𝙨 𝙛𝙧𝙤𝙢 𝙖 𝙩𝙚𝙭𝙩? From 'text' we want to capture only the web-addresses. The 're' is the library of python that allows to use special characters as in 'pattern'. Eg \w captures letters and numbers.

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Ready2Code @code_ready2

6 years ago

𝙝𝙤𝙬 𝙩𝙤 𝙧𝙚𝙖𝙙 𝙖 𝙥𝙙𝙛 𝙛𝙞𝙡𝙚 𝙪𝙨𝙞𝙣𝙜 𝙥𝙮𝙩𝙝𝙤𝙣? In the code that is attached , the 'myf' has the contents of the test.pdf, which is an existing file. And we can call functions e.g. it has 5 pages.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙩𝙝𝙚 𝙢𝙖𝙭𝙞𝙢𝙪𝙢 ? The 'test' is an array of numbers. We find the maximum which is 8. And also we find the position of the maximum which is the 3rd starting from 0.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙥𝙡𝙤𝙩 𝙩𝙝𝙚 𝙘𝙧𝙪𝙙𝙚 𝙊𝙞𝙡 𝙥𝙧𝙞𝙘𝙚 𝙙𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚 2008 𝙚𝙘𝙤𝙣𝙤𝙢𝙞𝙘 𝙘𝙧𝙞𝙨𝙞𝙨? The 'df' is the time series for the oil price imported from Quandl website. The effect of the 2008 crisis is significant as can be seen in the figure below.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙞𝙛 𝙖 𝙩𝙞𝙢𝙚 𝙨𝙚𝙧𝙞𝙚𝙨 𝙞𝙨 𝙨𝙩𝙖𝙩𝙞𝙤𝙣𝙖𝙧𝙮? The plot of our time series suggests that it not stationary. Formally, we can check this using the ADF test and its results suggest that it is not stationary because the second value i.e. 0.62 is > 0.05

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙩𝙝𝙚 𝙜𝙚𝙣𝙚𝙧𝙖𝙡 𝙩𝙧𝙚𝙣𝙙 𝙤𝙛 𝙖 𝙩𝙞𝙢𝙚-𝙨𝙚𝙧𝙞𝙚𝙨? The 'dftest' is our time series (top figure). The bottom figure shows the result of the 'decomposition'. We see that it has a general 'upwards' trend, and 'repetitiveness' (seasonality).

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Ready2Code @code_ready2

6 years ago

𝘼 𝙛𝙧𝙚𝙦𝙪𝙚𝙣𝙩 𝙢𝙞𝙨𝙩𝙖𝙠𝙚 𝙬𝙞𝙩𝙝 𝘿𝙖𝙩𝙖𝙨𝙚𝙩𝙨 𝙩𝙝𝙖𝙩 𝙘𝙤𝙣𝙩𝙖𝙞𝙣 𝙙𝙖𝙩𝙚 𝙖𝙣𝙙 𝙩𝙞𝙢𝙚 𝙫𝙖𝙡𝙪𝙚𝙨: We get an 'unknown' error when we try to convert a Column, with Date values, to a Datetime object without having first removed rows with missing values.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙞𝙛 𝙩𝙝𝙚 𝙨𝙩𝙤𝙘𝙠 𝙧𝙚𝙩𝙪𝙧𝙣𝙨 𝙖𝙧𝙚 𝙣𝙤𝙧𝙢𝙖𝙡𝙡𝙮 𝙙𝙞𝙨𝙩𝙧𝙞𝙗𝙪𝙩𝙚𝙙? we plot the stock price. And then we find the daily stock returns. And finally we plot them. We see that they are approximately normally distributed.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙨𝙞𝙢𝙪𝙡𝙖𝙩𝙚 𝙥𝙤𝙨𝙨𝙞𝙗𝙡𝙚 𝙛𝙪𝙩𝙪𝙧𝙚 𝙥𝙧𝙞𝙘𝙚𝙨 𝙤𝙛 𝙖 𝙨𝙩𝙤𝙘𝙠? The array 'Sarr' has 251 rows and 10000 columns. Each row is a future day. The first row is current day. So we simulate 10000 different values for a stock. The plot shows only 20 of them.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙫𝙖𝙡𝙪𝙚 𝙖 𝙀𝙪𝙧𝙤𝙥𝙚𝙖𝙣 𝙘𝙖𝙡𝙡 𝙤𝙥𝙩𝙞𝙤𝙣? Financial European call options are sold for a price, evaluated via Black-Scholes, where r=risk-free rate, K exercise price, T expiration, S current share price, stdev= standard deviation of historical stock return

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙢𝙖𝙠𝙚 𝙖 𝙨𝙞𝙜𝙣𝙖𝙡 '𝙣𝙤𝙞𝙨𝙮'? Our signal is the 'df' which is plotted. Noise is a series of values that follow the normal distribution with zero average value and 0.01 standard deviation. The noisy signal, 'df2' is plotted with the original one.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙩𝙝𝙚 𝙢𝙤𝙫𝙞𝙣𝙜 𝙖𝙫𝙚𝙧𝙖𝙜𝙚 𝙤𝙛 𝙖 𝙨𝙩𝙤𝙘𝙠 𝙥𝙧𝙞𝙘𝙚? Moving average or rolling average is the mean value from 30 days into the past until today. This graph presents the general trend of a stock price. We plot the closing price versus its rolling.

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Ready2Code @code_ready2

6 years ago

𝙍𝙞𝙨𝙠 𝙤𝙛 𝙖 𝙥𝙤𝙧𝙩𝙛𝙤𝙡𝙞𝙤 𝙤𝙛 𝙨𝙩𝙤𝙘𝙠𝙨 = 𝙙𝙞𝙫𝙚𝙧𝙨𝙞𝙛𝙞ed 𝙧𝙞𝙨𝙠 + 𝙪𝙣𝙙𝙞𝙫𝙚𝙧𝙨𝙞𝙛𝙞𝙚𝙙 (𝙚𝙜 𝙙𝙪𝙚 𝙩𝙤 𝙚𝙘𝙤𝙣𝙤𝙢𝙞𝙘 𝙧𝙚𝙘𝙚𝙨𝙨𝙞𝙤𝙣, 𝙜𝙚𝙤𝙥𝙤𝙡𝙞𝙩𝙞𝙘s 𝙚𝙩𝙘). 𝙄𝙣𝙫𝙚𝙨𝙩𝙢𝙚𝙣𝙩 𝙧𝙞𝙨𝙠 𝙘𝙖𝙣 𝙣𝙚𝙫𝙚𝙧 𝙗𝙚𝙘𝙤𝙢𝙚 𝙯𝙚𝙧𝙤.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙩𝙝𝙚 𝙧𝙞𝙨𝙠 𝙤𝙛 𝙖 𝙥𝙤𝙧𝙩𝙛𝙤𝙡𝙞𝙤 𝙤𝙛 𝙩𝙬𝙤 𝙨𝙩𝙤𝙘𝙠𝙨? An investor puts 50% of its total capital to stock1 and 50% to stock2. For each stock the daily stock price return is obtained & finally the standard deviation (risk) of the portfolio=16.4%.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙩𝙝𝙚 𝙙𝙖𝙞𝙡𝙮 𝙧𝙖𝙩𝙚 𝙤𝙛 𝙧𝙚𝙩𝙪𝙧𝙣 𝙤𝙛 𝙖 𝙨𝙩𝙤𝙘𝙠 𝙥𝙧𝙞𝙘𝙚? d_f is the dataframe with the daily stock price. We create a new column that has the daily stock price returns. We plot them. Observe a large 30% daily loss .

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙘𝙤𝙢𝙥𝙧𝙚𝙨𝙨 𝙖 𝙝𝙪𝙜𝙚 𝙙𝙖𝙩𝙖𝙨𝙚𝙩? the attached code compresses a huge dataset of 1000 columns called 'X_train' and 'X_test' to smaller ones of only 20 coliumns, and we retain 80% of the information. This helps machine learning algorithms. get faster.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙢𝙖𝙠𝙚 𝙖 𝙣𝙚𝙬 𝙘𝙤𝙡𝙪𝙢𝙣 𝙗𝙖𝙨𝙚𝙙 𝙤𝙣 𝙩𝙝𝙚 𝙫𝙖𝙡𝙪𝙚𝙨 𝙤𝙛 𝙖𝙣 𝙚𝙭𝙞𝙨𝙩𝙞𝙣𝙜 𝙤𝙣𝙚? df dataframe 's first column has 'yes' /'no' and the third column has 1/0.

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Ready2Code @code_ready2

6 years ago

𝙃𝙤𝙬 𝙩𝙤 𝙘𝙧𝙚𝙖𝙩𝙚 𝙧𝙖𝙣𝙙𝙤𝙢 𝙙𝙖𝙩𝙖 𝙚𝙖𝙨𝙞𝙡𝙮? Using the function make_blobs we make 100 rows, 2 columns of data & placed in 3 categories. Dataframe df shows the data. And are plotted. Colors show their categories.