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Course content
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Activities:
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Resources:
187
- 001 Get to Know Your Instructor AqiY gitir
- 002 Course Contents What You Will Learn tJxg gitir
- 003 What is Data Analysis Explained sAeV gitir
- 004 Types of Data Analysis ayXV gitir
- 005 Goal for Data Analysis n0Oj gitir
- 006 Introduction to NumPy 3wg0 gitir
- 007 NumPy Variable Properties YS3N gitir
- 008 Importing NumPy Library Into A Jupyter Notebook cPZM gitir
- 009 Creating a List in Python Cryo gitir
- 010 Creating Arrays from the List 2b9M gitir
- 011 Practical Uses of NumPy Variable Properties EZUl gitir
- 012 Basic Operations for Statistical Analysis Using NumPy uinV gitir
- 013 Issues Regarding NumPy Array Reshaping knHR gitir
- 014 Indexing and Slicing NumPy Arrays FaJY gitir
- 015 Assigning Values to Arrays q34o gitir
- 016 Copy and Slicing Difference EEJ6 gitir
- 017 Queries Regarding Assigning Values to Arrays klrJ gitir
- 018 2 D Slicing and Referencing BREM gitir
- 019 Queries Regarding Indexing and Slicing wMEn gitir
- 020 What You Have Learned So Far HZmk gitir
- 021 Queries Regarding Accessing to The NumPy Work File TQDq gitir
- 022 Array programming with NumPy Recap Mqz8 gitir
- 023 Numpy Argmin and Argmax Explained Bxna gitir
- 024 Boolean Array in NumPy JGWx gitir
- 025 Suggestions Regarding Operations on NumPy Arrays 7Nan gitir
- 026 Mathematical Operations on NumPy Arrays Addition and Subtraction M3qU gitir
- 027 Use of numpy zeros and numpy ones Function in Python FDOn gitir
- 028 Creating an Array for a Given List dlox gitir
- 029 Solving an Undefined Variable NameError in Python oUKn gitir
- 030 Common Operations with NumPy pVaN gitir
- 031 Using np zeros and np ones Functions 7tXT gitir
- 032 Using numpy eye Function to Create an Identity Matrix kXqF gitir
- 033 Creating NumPy Array Using np arrange Function 6x5Z gitir
- 034 np linspace and np arange Function in NumPy IETJ gitir
- 035 Where to Save Work File wYKw gitir
- 036 Introducing Pandas Objects Dqy5 gitir
- 037 Series and Dataframe mvxX gitir
- 038 Creating Series Using Pandas tLJn gitir
- 039 Queries Regarding Creating Series Using Pandas peG9 gitir
- 040 Conditional Selection of Selected Elements wyWY gitir
- 041 Referencing Using Index Values cMEr gitir
- 042 What You Learnt So Far 3aN3 gitir
- 043 Pandas Library Recap J87B gitir
- 044 Accessing to Work File GikC gitir
- 045 Using Series in Python es1u gitir
- 046 How to Download and Access Work File tWqL gitir
- 047 Queries Regarding Downloading and Accessing Work File in Jupyter TDe3 gitir
- 048 Creating Series Of Cities 6t9m gitir
- 049 Getting Any Column From Dataframe BLc7 gitir
- 050 Dataframe from Single List apZX gitir
- 051 Creating Dataframe from Dictionary c8sT gitir
- 052 Creating Dataframe from Lists Using Zip GgR5 gitir
- 053 Getting Subset of Columns from Dataframe wrsG gitir
- 054 DataFrame set index and DataFrame loc Method Hpwf gitir
- 055 Getting The Integer Index of a Pandas DataFrame Row Fulfilling A Condition dcEo gitir
- 056 Queries Regarding Conditional Selection of Selected Elements 1RYe gitir
- 057 Introduction to Matplotlib VBRJ gitir
- 058 Plots with Matplotlib XUSG gitir
- 059 Two Methods for Plots l2Nw gitir
- 060 Queries Regarding Accessing to The Work File hjnk gitir
- 061 What We Have Learnt So Far 3mZh gitir
- 062 Basics of Matplotlib RCXL gitir
- 063 Plots with Matplotlib and Methods of Matplotlib HYKo gitir
- 064 Matplotlib Scatter Plot fExF gitir
- 065 Sample Structure of Matplotlib 1tGb gitir
- 066 Histograms in Matplotlib V48g gitir
- 067 Object Oriented Method Explained Xg1x gitir
- 068 How to Install Matplotlib Using Anaconda Prompt l3tK gitir
- 069 Some Useful Links M1hc gitir
- 070 Installing Matplotlib Using Anaconda Prompt 0VRR gitir
- 071 Creating Some Numeric Data For Visualization FkFN gitir
- 072 What is numpy linspace in Python qJ7Y gitir
- 073 Queries Regarding x shape wI4d gitir
- 074 Queries Regarding Using the NumPy linspace Function pMH1 gitir
- 075 Functional Method of Creating a Single Plot iHjo gitir
- 076 Object Oriented Method of Creating a Figure and Only One Subplot vDqR gitir
- 077 Understanding Figure object in Matplotlib l6E9 gitir
- 078 Plot Labeling in Matplotlib LZYX gitir
- 079 Queries Regarding Accessing the Matplotlib Work File Ysy0 gitir
- 080 Object Oriented Method of Creating Two Subplots Wt8z gitir
- 081 Creating Four Polar axes and Accessing them Through the Returned Array kPTo gitir
- 082 Queries Regarding Creating Four Polar axes C5Vb gitir
- 083 Queries Regarding Scattering Plot TXFY gitir
- 084 What Is Matplotlib and How It Works VkXr gitir
- 085 Methods For Plots 8vs5 gitir
- 086 Matplotlib Histograms FHrM gitir
- 087 Working on Different Methods Of Plotting Recap It5M gitir
- 088 Histogram Syntax and Parameters c5n1 gitir
- 089 Creating Histogram Using One Parameter 6X09 gitir
- 090 Queries Regarding Creating Histogram Y7vi gitir
- 091 Problem Regarding Accessing Matplotlib Work File HNYI gitir
- 092 NameError name plt is not defined in Python Solved MPGF gitir
- 093 Issues Regarding name plt is not defined in Python sDWZ gitir
- 094 Fixing Module Pandas Has No Attribute Error hh00 gitir
- 095 What Does numpy random seed Do wBqE gitir
- 096 Using numpy random randn Function in Python vMnv gitir
- 097 Query Regarding Bin Size in Matplotlib Histogram E4Yd gitir
- 098 Query Regarding numpy random randn Function AupF gitir
- 099 NameError name plt is not defined Fixed vBUX gitir
- 100 Histogram of Randomly Generated Values ySt9 gitir
- 101 Creating a Bar Chart Using One Plot suCq gitir
- 102 Creating Two Bar Chart Using Two Sub plots OxQ4 gitir
- 103 Creating Multi colored Bar Chart eYaD gitir
- 104 Creating Chart Using Scatter Plot and Other Plot Types 7Qcb gitir
- 105 Name is Not Defined Error Fixing PgeB gitir
- 106 What We Have Learnt So Far 1Sx5 gitir
- 107 Overview on Previous Lessons X85N gitir
- 108 What Is Python Seaborn Explained k2gm gitir
- 109 Differences Between Seaborn and Matplotlib VviZ gitir
- 110 What to Do With Seaborn T1Kl gitir
- 111 Dependency of Seaborn How to Import Seaborn z5jG gitir
- 112 Overview of Seaborn Plots Kz7n gitir
- 113 Where from You Can Get Help 0yOB gitir
- 114 How to import Seaborn in Jupiter Notebook 54Wi gitir
- 115 Creating Dataframe and Drawing Line Plot Jv1o gitir
- 116 Accessing Github Seaborn Datasets FMxc gitir
- 117 Loading Dataset from Github to Seaborn hOjI gitir
- 118 Drawing Line Plot of Total Bill and Tips 1sLk gitir
- 119 Query Regarding Dataset Sources ZlCA gitir
- 120 Drawing Line Plot of Tip and Size Qylh gitir
- 121 How to Adjust Style and Figure Size mT89 gitir
- 122 Queries Regarding Loading Dataset H2Ej gitir
- 123 What Replot Function Do in seaborn DB82 gitir
- 124 Use of Displot Function 3fTA gitir
- 125 When to Use Rugplot Function W8cI gitir
- 126 Queries Regarding Importing Dataset from Github aHM6 gitir
- 127 Queries on Different Plot Functions iSZ9 gitir
- 128 What Kernel Density Estimate KDE Plot Represents OQSu gitir
- 129 Bar plot Count plot Box plot Violin plot and Strip plot Explained ZXvg gitir
- 130 Creating Swarm plot Cat plot Joint plot and Pair plot eqFj gitir
- 131 Queries Regarding Pair Plot CQHH gitir
- 132 What You Have Learnt So Far Seaborn 74vQ gitir
- 133 Queries Regarding Seaborn Library pHcb gitir
- 134 Quick Overview on Drawing Line Plot gbbH gitir
- 135 Recap on Different Types of Plotting Function eK6b gitir
- 136 What You Will Learn Ahwq gitir
- 137 What is Feature Engineering Explained WxCc gitir
- 138 Why is Feature Engineering Important 3rZE gitir
- 139 Examples of Feature Engineering XtGa gitir
- 140 Steps of Feature Engineering and Example of Missing Data Z5iE gitir
- 141 Effective Strategies to Handling Missing Data 0VWQ gitir
- 142 Handling Imbalanced Data hrqZ gitir
- 143 How to Handle Outliers LJOD gitir
- 144 Boxplot for Detecting Outliers UEye gitir
- 145 Checking Data Distribution Using Skewness k9Bv gitir
- 146 Types of Skewness 7vxa gitir
- 147 Queries on Different Types of Skewness SvDT gitir
- 148 Queries Regarding Skewness bp84 gitir
- 149 Some Multiple Choice Questions on Skewness fhK4 gitir
- 150 Accessing Feature Engineering Work File efVm gitir
- 151 Importing Python Libraries and Using Pandas Read CSV Function LvE7 gitir
- 152 Why DataFrame Shape and Column Properties are Used yRVb gitir
- 153 Getting Summary of Null Values in Each Column GkPS gitir
- 154 Dropping Columns With Missing Values FFSG gitir
- 155 Query on How to Handle Missing Values Using Mean av4M gitir
- 156 Queries Regarding DataFrame fillna Method GWq5 gitir
- 157 Queries Regarding Missing Data 50QQ gitir
- 158 Queries Regarding Replacing Zero Values Xx04 gitir
- 159 Miscellaneous Queries on Handling Missing Values v4aV gitir
- 160 What You Have Learnt So Far bDpZ gitir
- 161 Basics of Feature Engineering Recap cnn7 gitir
- 162 What is Feature Scaling YI1P gitir
- 163 Methods of Feature Scaling 1BOp gitir
- 164 Importing StandardScaler md0G gitir
- 165 Selecting DataFrame Column 2YYL gitir
- 166 Rescaling Min Max Normalization PJrS gitir
- 167 Standardization or Z Score Normalization psE1 gitir
- 168 Using Robust Scaling Method WlYv gitir
- 169 Fixing FileNotFoundError in Python Le3P gitir
- 170 Why Data Encoding is Used and Types of Data Encoding pUSU gitir
- 171 Label Encoding in Python Explained lkv6 gitir
- 172 What is One Hot Encoding 2dvZ gitir
- 173 Differences Between Ordinal Encoding and Label Encoding kW6s gitir
- 174 Defining Universe of Possible Input Values JJDo gitir
- 175 Mapping Characters to Integers K0ww gitir
- 176 Integer Encoding Input Data hgby gitir
- 177 One Hot Encoding Using Categorical Data PU90 gitir
- 178 Queries Regarding Data Encoding 8eKf gitir
- 179 Queries Regarding Normalizing the Data G1pU gitir
- 180 Recap on Feature Engineering and Feature Scaling Basics eqcM gitir
- 181 Recap on Data Encoding Lw1P gitir
- 182 Queries Regarding Label Encoding rGGr gitir
- 183 Queries Regarding One Hot Encoding bPHj gitir
- 184 What is Feature Selection Explained With its Goal and Advantages 5sp5 gitir
- 185 Feature Selection Methods n8G8 gitir
- 186 Heatmap for Feature Selection and Its Parameters bJdh gitir
- 187 Some Multiple Choice Questions on Feature Selection tiCX gitir