├── Course-notes-descriptive-statistics.pdf ├── Course-notes-hypothesis-testing.pdf ├── Course-notes-inferential-statistics.pdf ├── Data-Analysis_Question.docx ├── Data_Science_CheatSheet ├── 100_Color_names_python.png ├── A Beginner's Guide.pdf ├── CH_ Business_Leaders.pdf ├── CH_AI-Neural-Networks.-22.pdf ├── CH_Bokeh.pdf ├── CH_Complete_Python_Cheatsheet.pdf ├── CH_Importing Data.pdf ├── CH_Jupyter_Notebook.pdf ├── CH_ML.pdf ├── CH_NumPy_Basics.pdf ├── CH_Pandas_Basics.pdf ├── CH_PySpark - SQL Basics.pdf ├── CH_Python_Basics.pdf ├── CH_Scikit-Learn.pdf ├── CH_Seaborn.pdf ├── CH_Statistics_Cheatsheet.pdf ├── CH_Tidyverse for Beginners_R.pdf ├── CH_data-wrangling-cheatsheet-R.pdf ├── CH_data.table.pdf ├── CH_eXtensible Time Series (xts).pdf ├── CH_ggplot2-cheatsheet.pdf ├── CH_git-cheat-sheet-education.pdf ├── CH_spaCy.pdf ├── Cheat_Sheet_Keras.pdf ├── Cheat_Sheet_Matplotlib.pdf ├── Cheat_Sheet_Pandas.pdf ├── Cheat_Sheet_PySpark_RDD_Basic.pdf ├── Cheat_Sheet_SciPy - Linear Algebra.pdf ├── Data Science Cheatsheet.pdf ├── Data Science with Python.pdf ├── ML Cheat Sheet.pdf.pdf ├── Neural Net From Scratch.pdf ├── Notes & Summary of Deep Learning Courses.pdf ├── Pandas Library in 8 pages!.pdf ├── Python Pandas Quick Refresher.pdf ├── Python_Seaborn_Cheat_Sheet.pdf ├── R cheat sheet.2.pdf └── stats_handout.pdf ├── Deep Learning.docx ├── LICENSE ├── ML.docx ├── NLP.docx ├── Predictive-Modeling.docx ├── Quiz_questions_statistics_for_data_science.pdf ├── README.md ├── Short_Notes.docx ├── interview-question-data-science--30days ├── DATA SCIENCE INTERVIEW QUESTIONS(#DAY12).pdf ├── DATA SCIENCE INTERVIEW QUESTIONS(#DAY13).pdf ├── DATA SCIENCE INTERVIEW QUESTIONS(#DAY15).pdf ├── DATA SCIENCE INTERVIEW QUESTIONS(#DAY19).pdf ├── DATA SCIENCE INTERVIEW QUESTIONS(#DAY9).pdf ├── Data Science INterview Questions #Day1.pdf ├── Data Science Interview Interview Questions(#Day28).pdf ├── Data Science Interview Preparation Questions(#Day06).pdf ├── Data Science Interview Preparation(# DAY 22).pdf ├── Data Science Interview Preparation(#DAY 02).pdf ├── Data Science Interview Preparation(#DAY 04).pdf ├── Data Science Interview Preparation(#DAY 05).pdf ├── Data Science Interview Preparation(#DAY 08).pdf ├── Data Science Interview Preparation(#DAY 10).pdf ├── Data Science Interview Preparation(#DAY 11).pdf ├── Data Science Interview Preparation(#DAY 14).pdf ├── Data Science Interview Preparation(#DAY 16).pdf ├── Data Science Interview Preparation(#DAY 18).pdf ├── Data Science Interview Preparation(#DAY 23).pdf ├── Data Science Interview Preparation(#DAY 24).pdf ├── Data Science Interview Preparation(#DAY 3).pdf ├── Data Science Interview Preparation(#DAY 7).pdf ├── Data Science Interview Preparation.pdf ├── Data Science Interview Questiona(#Day21).pdf ├── Data Science Interview Questions(#DAY20).pdf ├── Data Science Interview Questions(#Day17).pdf ├── Data Science Interview Questions(#Day26).pdf ├── Data Science Interview Questions(#Day27).pdf ├── Data science Interview 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publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /ML.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MukundAabha/Data_Science_ML_DL_NLP_Interview_Qus/5e498f7164ef41c839cf817429aa13877fbb3268/ML.docx -------------------------------------------------------------------------------- /NLP.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MukundAabha/Data_Science_ML_DL_NLP_Interview_Qus/5e498f7164ef41c839cf817429aa13877fbb3268/NLP.docx -------------------------------------------------------------------------------- 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